Overview

Dataset statistics

Number of variables121
Number of observations4050
Missing cells3555
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 MiB
Average record size in memory968.0 B

Variable types

Numeric2
Categorical119

Alerts

id is highly overall correlated with q001High correlation
FSC is highly overall correlated with q005 and 3 other fieldsHigh correlation
q001 is highly overall correlated with id and 1 other fieldsHigh correlation
q003 is highly overall correlated with FS_StatusHigh correlation
q004 is highly overall correlated with FS_StatusHigh correlation
q005 is highly overall correlated with FSC and 1 other fieldsHigh correlation
q007 is highly overall correlated with FSC and 1 other fieldsHigh correlation
q008 is highly overall correlated with FSC and 1 other fieldsHigh correlation
q019 is highly overall correlated with q020High correlation
q020 is highly overall correlated with q019High correlation
q025 is highly overall correlated with q041oHigh correlation
q027 is highly overall correlated with q028bHigh correlation
q036a is highly overall correlated with q036bHigh correlation
q023b is highly overall correlated with q023dHigh correlation
q023d is highly overall correlated with q023bHigh correlation
q028b is highly overall correlated with q027High correlation
q036b is highly overall correlated with q036aHigh correlation
q038g is highly overall correlated with q001High correlation
q041o is highly overall correlated with q025High correlation
FS_Status is highly overall correlated with FSC and 5 other fieldsHigh correlation
q001 is highly imbalanced (56.7%)Imbalance
q022 is highly imbalanced (51.9%)Imbalance
q036a is highly imbalanced (52.8%)Imbalance
q014g is highly imbalanced (71.6%)Imbalance
q016e is highly imbalanced (77.0%)Imbalance
q017d is highly imbalanced (53.3%)Imbalance
q017e is highly imbalanced (57.8%)Imbalance
q017j is highly imbalanced (65.7%)Imbalance
q021a is highly imbalanced (59.2%)Imbalance
q021d is highly imbalanced (64.8%)Imbalance
q021f is highly imbalanced (58.2%)Imbalance
q023a is highly imbalanced (84.8%)Imbalance
q023e is highly imbalanced (81.6%)Imbalance
q024b is highly imbalanced (54.5%)Imbalance
q024h is highly imbalanced (76.3%)Imbalance
q028a is highly imbalanced (63.7%)Imbalance
q028c is highly imbalanced (70.0%)Imbalance
q028d is highly imbalanced (95.7%)Imbalance
q033e is highly imbalanced (69.3%)Imbalance
q033f is highly imbalanced (63.4%)Imbalance
q033g is highly imbalanced (53.7%)Imbalance
q033h is highly imbalanced (66.3%)Imbalance
q033i is highly imbalanced (73.4%)Imbalance
q036b is highly imbalanced (96.5%)Imbalance
q038d is highly imbalanced (85.2%)Imbalance
q038e is highly imbalanced (83.6%)Imbalance
q038f is highly imbalanced (87.0%)Imbalance
q038h is highly imbalanced (78.1%)Imbalance
q038i is highly imbalanced (92.3%)Imbalance
q038j is highly imbalanced (75.5%)Imbalance
q039d is highly imbalanced (79.2%)Imbalance
q039e is highly imbalanced (74.4%)Imbalance
q039f is highly imbalanced (69.7%)Imbalance
q039g is highly imbalanced (53.9%)Imbalance
q039h is highly imbalanced (56.2%)Imbalance
q041c is highly imbalanced (50.7%)Imbalance
q041e is highly imbalanced (80.3%)Imbalance
q041f is highly imbalanced (77.8%)Imbalance
q041g is highly imbalanced (71.6%)Imbalance
q041h is highly imbalanced (78.7%)Imbalance
q041i is highly imbalanced (56.8%)Imbalance
q041j is highly imbalanced (78.1%)Imbalance
q041k is highly imbalanced (63.1%)Imbalance
q041l is highly imbalanced (74.3%)Imbalance
q041m is highly imbalanced (83.6%)Imbalance
q041n is highly imbalanced (92.0%)Imbalance
q041o is highly imbalanced (86.0%)Imbalance
q041p is highly imbalanced (94.0%)Imbalance
q041q is highly imbalanced (93.3%)Imbalance
q041r is highly imbalanced (84.9%)Imbalance
q041s is highly imbalanced (69.6%)Imbalance
q041t is highly imbalanced (72.5%)Imbalance
q041u is highly imbalanced (87.8%)Imbalance
q006 has 1185 (29.3%) missing valuesMissing
q013 has 43 (1.1%) missing valuesMissing
q020 has 212 (5.2%) missing valuesMissing
q022 has 65 (1.6%) missing valuesMissing
q027 has 850 (21.0%) missing valuesMissing
q034 has 94 (2.3%) missing valuesMissing
q035a has 82 (2.0%) missing valuesMissing
q036a has 68 (1.7%) missing valuesMissing
q037 has 534 (13.2%) missing valuesMissing
q040a has 103 (2.5%) missing valuesMissing
id is uniformly distributedUniform
id has unique valuesUnique
FSC has 95 (2.3%) zerosZeros

Reproduction

Analysis started2024-07-12 20:55:55.747823
Analysis finished2024-07-12 20:56:49.239977
Duration53.49 seconds
Software versionydata-profiling vv4.0.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

HIGH CORRELATION  UNIFORM  UNIQUE 

Distinct4050
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2032.557
Minimum1
Maximum4081
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-07-12T16:56:49.377489image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile203.45
Q11018.25
median2030.5
Q33046.75
95-th percentile3865.55
Maximum4081
Range4080
Interquartile range (IQR)2028.5

Descriptive statistics

Standard deviation1174.0623
Coefficient of variation (CV)0.57762821
Kurtosis-1.1948521
Mean2032.557
Median Absolute Deviation (MAD)1014.5
Skewness0.0037940667
Sum8231856
Variance1378422.3
MonotonicityStrictly increasing
2024-07-12T16:56:49.537641image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2715 1
 
< 0.1%
2701 1
 
< 0.1%
2702 1
 
< 0.1%
2703 1
 
< 0.1%
2704 1
 
< 0.1%
2705 1
 
< 0.1%
2706 1
 
< 0.1%
2707 1
 
< 0.1%
2708 1
 
< 0.1%
Other values (4040) 4040
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4081 1
< 0.1%
4080 1
< 0.1%
4079 1
< 0.1%
4078 1
< 0.1%
4077 1
< 0.1%
4076 1
< 0.1%
4075 1
< 0.1%
4074 1
< 0.1%
4073 1
< 0.1%
4072 1
< 0.1%

q001
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
English
3383 
French
361 
Arabic
 
241
Simplified Chinese
 
65

Length

Max length18
Median length7
Mean length7.0279012
Min length6

Characters and Unicode

Total characters28463
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEnglish
2nd rowEnglish
3rd rowEnglish
4th rowEnglish
5th rowEnglish

Common Values

ValueCountFrequency (%)
English 3383
83.5%
French 361
 
8.9%
Arabic 241
 
6.0%
Simplified Chinese 65
 
1.6%

Length

2024-07-12T16:56:49.696823image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:49.833992image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
english 3383
82.2%
french 361
 
8.8%
arabic 241
 
5.9%
simplified 65
 
1.6%
chinese 65
 
1.6%

Most occurring characters

ValueCountFrequency (%)
i 3884
13.6%
h 3809
13.4%
n 3809
13.4%
l 3448
12.1%
s 3448
12.1%
E 3383
11.9%
g 3383
11.9%
r 602
 
2.1%
c 602
 
2.1%
e 556
 
2.0%
Other values (11) 1539
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24283
85.3%
Uppercase Letter 4115
 
14.5%
Space Separator 65
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 3884
16.0%
h 3809
15.7%
n 3809
15.7%
l 3448
14.2%
s 3448
14.2%
g 3383
13.9%
r 602
 
2.5%
c 602
 
2.5%
e 556
 
2.3%
a 241
 
1.0%
Other values (5) 501
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
E 3383
82.2%
F 361
 
8.8%
A 241
 
5.9%
S 65
 
1.6%
C 65
 
1.6%
Space Separator
ValueCountFrequency (%)
65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28398
99.8%
Common 65
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 3884
13.7%
h 3809
13.4%
n 3809
13.4%
l 3448
12.1%
s 3448
12.1%
E 3383
11.9%
g 3383
11.9%
r 602
 
2.1%
c 602
 
2.1%
e 556
 
2.0%
Other values (10) 1474
 
5.2%
Common
ValueCountFrequency (%)
65
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 3884
13.6%
h 3809
13.4%
n 3809
13.4%
l 3448
12.1%
s 3448
12.1%
E 3383
11.9%
g 3383
11.9%
r 602
 
2.1%
c 602
 
2.1%
e 556
 
2.0%
Other values (11) 1539
 
5.4%

q002
Categorical

Distinct3
Distinct (%)0.1%
Missing18
Missing (%)0.4%
Memory size31.8 KiB
No
2871 
Yes
924 
Prefer Not To Answer
 
237

Length

Max length20
Median length2
Mean length3.2872024
Min length2

Characters and Unicode

Total characters13254
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowPrefer Not To Answer

Common Values

ValueCountFrequency (%)
No 2871
70.9%
Yes 924
 
22.8%
Prefer Not To Answer 237
 
5.9%
(Missing) 18
 
0.4%

Length

2024-07-12T16:56:49.967541image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:50.106536image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
no 2871
60.5%
yes 924
 
19.5%
prefer 237
 
5.0%
not 237
 
5.0%
to 237
 
5.0%
answer 237
 
5.0%

Most occurring characters

ValueCountFrequency (%)
o 3345
25.2%
N 3108
23.4%
e 1635
12.3%
s 1161
 
8.8%
Y 924
 
7.0%
r 711
 
5.4%
711
 
5.4%
P 237
 
1.8%
f 237
 
1.8%
t 237
 
1.8%
Other values (4) 948
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7800
58.9%
Uppercase Letter 4743
35.8%
Space Separator 711
 
5.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 3345
42.9%
e 1635
21.0%
s 1161
 
14.9%
r 711
 
9.1%
f 237
 
3.0%
t 237
 
3.0%
n 237
 
3.0%
w 237
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
N 3108
65.5%
Y 924
 
19.5%
P 237
 
5.0%
T 237
 
5.0%
A 237
 
5.0%
Space Separator
ValueCountFrequency (%)
711
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12543
94.6%
Common 711
 
5.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 3345
26.7%
N 3108
24.8%
e 1635
13.0%
s 1161
 
9.3%
Y 924
 
7.4%
r 711
 
5.7%
P 237
 
1.9%
f 237
 
1.9%
t 237
 
1.9%
T 237
 
1.9%
Other values (3) 711
 
5.7%
Common
ValueCountFrequency (%)
711
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 3345
25.2%
N 3108
23.4%
e 1635
12.3%
s 1161
 
8.8%
Y 924
 
7.0%
r 711
 
5.4%
711
 
5.4%
P 237
 
1.8%
f 237
 
1.8%
t 237
 
1.8%
Other values (4) 948
 
7.2%

q003
Categorical

Distinct5
Distinct (%)0.1%
Missing28
Missing (%)0.7%
Memory size31.8 KiB
Sometimes True
1929 
Often True
1529 
Never True
327 
Prefer Not To Answer
 
149
Don't Know
 
88

Length

Max length20
Median length14
Mean length12.288911
Min length10

Characters and Unicode

Total characters49426
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSometimes True
2nd rowNever True
3rd rowNever True
4th rowSometimes True
5th rowOften True

Common Values

ValueCountFrequency (%)
Sometimes True 1929
47.6%
Often True 1529
37.8%
Never True 327
 
8.1%
Prefer Not To Answer 149
 
3.7%
Don't Know 88
 
2.2%
(Missing) 28
 
0.7%

Length

2024-07-12T16:56:50.221200image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:50.362314image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
true 3785
45.4%
sometimes 1929
23.1%
often 1529
18.3%
never 327
 
3.9%
prefer 149
 
1.8%
not 149
 
1.8%
to 149
 
1.8%
answer 149
 
1.8%
don't 88
 
1.1%
know 88
 
1.1%

Most occurring characters

ValueCountFrequency (%)
e 10273
20.8%
r 4559
9.2%
4320
8.7%
T 3934
 
8.0%
m 3858
 
7.8%
u 3785
 
7.7%
t 3695
 
7.5%
o 2403
 
4.9%
s 2078
 
4.2%
S 1929
 
3.9%
Other values (12) 8592
17.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 36676
74.2%
Uppercase Letter 8342
 
16.9%
Space Separator 4320
 
8.7%
Other Punctuation 88
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 10273
28.0%
r 4559
12.4%
m 3858
 
10.5%
u 3785
 
10.3%
t 3695
 
10.1%
o 2403
 
6.6%
s 2078
 
5.7%
i 1929
 
5.3%
n 1854
 
5.1%
f 1678
 
4.6%
Other values (2) 564
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
T 3934
47.2%
S 1929
23.1%
O 1529
 
18.3%
N 476
 
5.7%
P 149
 
1.8%
A 149
 
1.8%
D 88
 
1.1%
K 88
 
1.1%
Space Separator
ValueCountFrequency (%)
4320
100.0%
Other Punctuation
ValueCountFrequency (%)
' 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 45018
91.1%
Common 4408
 
8.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 10273
22.8%
r 4559
10.1%
T 3934
 
8.7%
m 3858
 
8.6%
u 3785
 
8.4%
t 3695
 
8.2%
o 2403
 
5.3%
s 2078
 
4.6%
S 1929
 
4.3%
i 1929
 
4.3%
Other values (10) 6575
14.6%
Common
ValueCountFrequency (%)
4320
98.0%
' 88
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49426
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 10273
20.8%
r 4559
9.2%
4320
8.7%
T 3934
 
8.0%
m 3858
 
7.8%
u 3785
 
7.7%
t 3695
 
7.5%
o 2403
 
4.9%
s 2078
 
4.2%
S 1929
 
3.9%
Other values (12) 8592
17.4%

q004
Categorical

Distinct5
Distinct (%)0.1%
Missing27
Missing (%)0.7%
Memory size31.8 KiB
Sometimes True
1905 
Often True
1574 
Never True
326 
Prefer Not To Answer
 
124
Don't Know
 
94

Length

Max length20
Median length14
Mean length12.202337
Min length10

Characters and Unicode

Total characters49090
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSometimes True
2nd rowSometimes True
3rd rowSometimes True
4th rowSometimes True
5th rowSometimes True

Common Values

ValueCountFrequency (%)
Sometimes True 1905
47.0%
Often True 1574
38.9%
Never True 326
 
8.0%
Prefer Not To Answer 124
 
3.1%
Don't Know 94
 
2.3%
(Missing) 27
 
0.7%

Length

2024-07-12T16:56:50.500175image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:50.639231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
true 3805
45.9%
sometimes 1905
23.0%
often 1574
19.0%
never 326
 
3.9%
prefer 124
 
1.5%
not 124
 
1.5%
to 124
 
1.5%
answer 124
 
1.5%
don't 94
 
1.1%
know 94
 
1.1%

Most occurring characters

ValueCountFrequency (%)
e 10213
20.8%
r 4503
9.2%
4271
8.7%
T 3929
 
8.0%
m 3810
 
7.8%
u 3805
 
7.8%
t 3697
 
7.5%
o 2341
 
4.8%
s 2029
 
4.1%
S 1905
 
3.9%
Other values (12) 8587
17.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 36431
74.2%
Uppercase Letter 8294
 
16.9%
Space Separator 4271
 
8.7%
Other Punctuation 94
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 10213
28.0%
r 4503
12.4%
m 3810
 
10.5%
u 3805
 
10.4%
t 3697
 
10.1%
o 2341
 
6.4%
s 2029
 
5.6%
i 1905
 
5.2%
n 1886
 
5.2%
f 1698
 
4.7%
Other values (2) 544
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
T 3929
47.4%
S 1905
23.0%
O 1574
19.0%
N 450
 
5.4%
P 124
 
1.5%
A 124
 
1.5%
D 94
 
1.1%
K 94
 
1.1%
Space Separator
ValueCountFrequency (%)
4271
100.0%
Other Punctuation
ValueCountFrequency (%)
' 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 44725
91.1%
Common 4365
 
8.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 10213
22.8%
r 4503
10.1%
T 3929
 
8.8%
m 3810
 
8.5%
u 3805
 
8.5%
t 3697
 
8.3%
o 2341
 
5.2%
s 2029
 
4.5%
S 1905
 
4.3%
i 1905
 
4.3%
Other values (10) 6588
14.7%
Common
ValueCountFrequency (%)
4271
97.8%
' 94
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49090
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 10213
20.8%
r 4503
9.2%
4271
8.7%
T 3929
 
8.0%
m 3810
 
7.8%
u 3805
 
7.8%
t 3697
 
7.5%
o 2341
 
4.8%
s 2029
 
4.1%
S 1905
 
3.9%
Other values (12) 8587
17.5%

q005
Categorical

Distinct4
Distinct (%)0.1%
Missing14
Missing (%)0.3%
Memory size31.8 KiB
Yes
2898 
No
834 
Prefer Not To Answer
 
184
Don't Know
 
120

Length

Max length20
Median length3
Mean length3.7765114
Min length2

Characters and Unicode

Total characters15242
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowNo
3rd rowNo
4th rowYes
5th rowYes

Common Values

ValueCountFrequency (%)
Yes 2898
71.6%
No 834
 
20.6%
Prefer Not To Answer 184
 
4.5%
Don't Know 120
 
3.0%
(Missing) 14
 
0.3%

Length

2024-07-12T16:56:50.783931image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:50.931942image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
yes 2898
61.6%
no 834
 
17.7%
prefer 184
 
3.9%
not 184
 
3.9%
to 184
 
3.9%
answer 184
 
3.9%
don't 120
 
2.5%
know 120
 
2.5%

Most occurring characters

ValueCountFrequency (%)
e 3450
22.6%
s 3082
20.2%
Y 2898
19.0%
o 1442
9.5%
N 1018
 
6.7%
672
 
4.4%
r 552
 
3.6%
n 424
 
2.8%
t 304
 
2.0%
w 304
 
2.0%
Other values (7) 1096
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9742
63.9%
Uppercase Letter 4708
30.9%
Space Separator 672
 
4.4%
Other Punctuation 120
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3450
35.4%
s 3082
31.6%
o 1442
14.8%
r 552
 
5.7%
n 424
 
4.4%
t 304
 
3.1%
w 304
 
3.1%
f 184
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
Y 2898
61.6%
N 1018
 
21.6%
P 184
 
3.9%
T 184
 
3.9%
A 184
 
3.9%
D 120
 
2.5%
K 120
 
2.5%
Space Separator
ValueCountFrequency (%)
672
100.0%
Other Punctuation
ValueCountFrequency (%)
' 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14450
94.8%
Common 792
 
5.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3450
23.9%
s 3082
21.3%
Y 2898
20.1%
o 1442
10.0%
N 1018
 
7.0%
r 552
 
3.8%
n 424
 
2.9%
t 304
 
2.1%
w 304
 
2.1%
f 184
 
1.3%
Other values (5) 792
 
5.5%
Common
ValueCountFrequency (%)
672
84.8%
' 120
 
15.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15242
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 3450
22.6%
s 3082
20.2%
Y 2898
19.0%
o 1442
9.5%
N 1018
 
6.7%
672
 
4.4%
r 552
 
3.6%
n 424
 
2.8%
t 304
 
2.0%
w 304
 
2.0%
Other values (7) 1096
 
7.2%

q006
Categorical

Distinct6
Distinct (%)0.2%
Missing1185
Missing (%)29.3%
Memory size31.8 KiB
Some Months But Not Every Month
1246 
Almost Every Month
1180 
Only 1 Or 2 Months
345 
Don't Know
 
41
Prefer Not To Answer
 
30

Length

Max length31
Median length18
Mean length23.495986
Min length10

Characters and Unicode

Total characters67316
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAlmost Every Month
2nd rowSome Months But Not Every Month
3rd rowOnly 1 Or 2 Months
4th rowAlmost Every Month
5th rowAlmost Every Month

Common Values

ValueCountFrequency (%)
Some Months But Not Every Month 1246
30.8%
Almost Every Month 1180
29.1%
Only 1 Or 2 Months 345
 
8.5%
Don't Know 41
 
1.0%
Prefer Not To Answer 30
 
0.7%
Never True 23
 
0.6%
(Missing) 1185
29.3%

Length

2024-07-12T16:56:51.059070image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:51.196169image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
every 2426
18.7%
month 2426
18.7%
months 1591
12.2%
not 1276
9.8%
some 1246
9.6%
but 1246
9.6%
almost 1180
9.1%
2 345
 
2.7%
or 345
 
2.7%
1 345
 
2.7%
Other values (8) 563
 
4.3%

Most occurring characters

ValueCountFrequency (%)
10124
15.0%
o 7831
11.6%
t 7760
11.5%
n 4474
 
6.6%
M 4017
 
6.0%
h 4017
 
6.0%
e 3831
 
5.7%
r 2907
 
4.3%
s 2801
 
4.2%
y 2771
 
4.1%
Other values (19) 16783
24.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44162
65.6%
Uppercase Letter 12299
 
18.3%
Space Separator 10124
 
15.0%
Decimal Number 690
 
1.0%
Other Punctuation 41
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 7831
17.7%
t 7760
17.6%
n 4474
10.1%
h 4017
9.1%
e 3831
8.7%
r 2907
 
6.6%
s 2801
 
6.3%
y 2771
 
6.3%
v 2449
 
5.5%
m 2426
 
5.5%
Other values (4) 2895
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
M 4017
32.7%
E 2426
19.7%
N 1299
 
10.6%
S 1246
 
10.1%
B 1246
 
10.1%
A 1210
 
9.8%
O 690
 
5.6%
T 53
 
0.4%
D 41
 
0.3%
K 41
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 345
50.0%
2 345
50.0%
Space Separator
ValueCountFrequency (%)
10124
100.0%
Other Punctuation
ValueCountFrequency (%)
' 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 56461
83.9%
Common 10855
 
16.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 7831
13.9%
t 7760
13.7%
n 4474
 
7.9%
M 4017
 
7.1%
h 4017
 
7.1%
e 3831
 
6.8%
r 2907
 
5.1%
s 2801
 
5.0%
y 2771
 
4.9%
v 2449
 
4.3%
Other values (15) 13603
24.1%
Common
ValueCountFrequency (%)
10124
93.3%
1 345
 
3.2%
2 345
 
3.2%
' 41
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67316
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10124
15.0%
o 7831
11.6%
t 7760
11.5%
n 4474
 
6.6%
M 4017
 
6.0%
h 4017
 
6.0%
e 3831
 
5.7%
r 2907
 
4.3%
s 2801
 
4.2%
y 2771
 
4.1%
Other values (19) 16783
24.9%

q007
Categorical

Distinct4
Distinct (%)0.1%
Missing36
Missing (%)0.9%
Memory size31.8 KiB
Yes
2961 
No
760 
Prefer Not To Answer
 
166
Don't Know
 
127

Length

Max length20
Median length3
Mean length3.7351769
Min length2

Characters and Unicode

Total characters14993
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowYes
5th rowYes

Common Values

ValueCountFrequency (%)
Yes 2961
73.1%
No 760
 
18.8%
Prefer Not To Answer 166
 
4.1%
Don't Know 127
 
3.1%
(Missing) 36
 
0.9%

Length

2024-07-12T16:56:51.340639image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:51.489725image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
yes 2961
63.8%
no 760
 
16.4%
prefer 166
 
3.6%
not 166
 
3.6%
to 166
 
3.6%
answer 166
 
3.6%
don't 127
 
2.7%
know 127
 
2.7%

Most occurring characters

ValueCountFrequency (%)
e 3459
23.1%
s 3127
20.9%
Y 2961
19.7%
o 1346
 
9.0%
N 926
 
6.2%
625
 
4.2%
r 498
 
3.3%
n 420
 
2.8%
t 293
 
2.0%
w 293
 
2.0%
Other values (7) 1045
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9602
64.0%
Uppercase Letter 4639
30.9%
Space Separator 625
 
4.2%
Other Punctuation 127
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3459
36.0%
s 3127
32.6%
o 1346
 
14.0%
r 498
 
5.2%
n 420
 
4.4%
t 293
 
3.1%
w 293
 
3.1%
f 166
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
Y 2961
63.8%
N 926
 
20.0%
P 166
 
3.6%
T 166
 
3.6%
A 166
 
3.6%
D 127
 
2.7%
K 127
 
2.7%
Space Separator
ValueCountFrequency (%)
625
100.0%
Other Punctuation
ValueCountFrequency (%)
' 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14241
95.0%
Common 752
 
5.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3459
24.3%
s 3127
22.0%
Y 2961
20.8%
o 1346
 
9.5%
N 926
 
6.5%
r 498
 
3.5%
n 420
 
2.9%
t 293
 
2.1%
w 293
 
2.1%
f 166
 
1.2%
Other values (5) 752
 
5.3%
Common
ValueCountFrequency (%)
625
83.1%
' 127
 
16.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 3459
23.1%
s 3127
20.9%
Y 2961
19.7%
o 1346
 
9.0%
N 926
 
6.2%
625
 
4.2%
r 498
 
3.3%
n 420
 
2.8%
t 293
 
2.0%
w 293
 
2.0%
Other values (7) 1045
 
7.0%

q008
Categorical

Distinct4
Distinct (%)0.1%
Missing35
Missing (%)0.9%
Memory size31.8 KiB
Yes
2504 
No
1178 
Prefer Not To Answer
 
200
Don't Know
 
133

Length

Max length20
Median length3
Mean length3.7853051
Min length2

Characters and Unicode

Total characters15198
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowNo
3rd rowNo
4th rowYes
5th rowYes

Common Values

ValueCountFrequency (%)
Yes 2504
61.8%
No 1178
29.1%
Prefer Not To Answer 200
 
4.9%
Don't Know 133
 
3.3%
(Missing) 35
 
0.9%

Length

2024-07-12T16:56:51.624911image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:51.769329image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
yes 2504
52.7%
no 1178
24.8%
prefer 200
 
4.2%
not 200
 
4.2%
to 200
 
4.2%
answer 200
 
4.2%
don't 133
 
2.8%
know 133
 
2.8%

Most occurring characters

ValueCountFrequency (%)
e 3104
20.4%
s 2704
17.8%
Y 2504
16.5%
o 1844
12.1%
N 1378
9.1%
733
 
4.8%
r 600
 
3.9%
n 466
 
3.1%
t 333
 
2.2%
w 333
 
2.2%
Other values (7) 1199
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9584
63.1%
Uppercase Letter 4748
31.2%
Space Separator 733
 
4.8%
Other Punctuation 133
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3104
32.4%
s 2704
28.2%
o 1844
19.2%
r 600
 
6.3%
n 466
 
4.9%
t 333
 
3.5%
w 333
 
3.5%
f 200
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
Y 2504
52.7%
N 1378
29.0%
P 200
 
4.2%
T 200
 
4.2%
A 200
 
4.2%
D 133
 
2.8%
K 133
 
2.8%
Space Separator
ValueCountFrequency (%)
733
100.0%
Other Punctuation
ValueCountFrequency (%)
' 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14332
94.3%
Common 866
 
5.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3104
21.7%
s 2704
18.9%
Y 2504
17.5%
o 1844
12.9%
N 1378
9.6%
r 600
 
4.2%
n 466
 
3.3%
t 333
 
2.3%
w 333
 
2.3%
f 200
 
1.4%
Other values (5) 866
 
6.0%
Common
ValueCountFrequency (%)
733
84.6%
' 133
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 3104
20.4%
s 2704
17.8%
Y 2504
16.5%
o 1844
12.1%
N 1378
9.1%
733
 
4.8%
r 600
 
3.9%
n 466
 
3.1%
t 333
 
2.2%
w 333
 
2.2%
Other values (7) 1199
 
7.9%

q009
Categorical

Distinct6
Distinct (%)0.1%
Missing17
Missing (%)0.4%
Memory size31.8 KiB
1 To 2 Years Ago
1147 
Less Than 1 Year Ago
1144 
3 To 4 Years Ago
964 
5 To 10 Years Ago
412 
More Than 10 Years Ago
235 

Length

Max length22
Median length16
Mean length17.71634
Min length16

Characters and Unicode

Total characters71450
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLess Than 1 Year Ago
2nd rowLess Than 1 Year Ago
3rd rowLess Than 1 Year Ago
4th row1 To 2 Years Ago
5th rowLess Than 1 Year Ago

Common Values

ValueCountFrequency (%)
1 To 2 Years Ago 1147
28.3%
Less Than 1 Year Ago 1144
28.2%
3 To 4 Years Ago 964
23.8%
5 To 10 Years Ago 412
 
10.2%
More Than 10 Years Ago 235
 
5.8%
Prefer Not To Answer 131
 
3.2%
(Missing) 17
 
0.4%

Length

2024-07-12T16:56:51.896551image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:52.051829image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
ago 3902
19.5%
years 2758
13.8%
to 2654
13.2%
1 2291
11.4%
than 1379
 
6.9%
2 1147
 
5.7%
less 1144
 
5.7%
year 1144
 
5.7%
3 964
 
4.8%
4 964
 
4.8%
Other values (6) 1687
8.4%

Most occurring characters

ValueCountFrequency (%)
16001
22.4%
o 6922
9.7%
e 5674
 
7.9%
a 5281
 
7.4%
s 5177
 
7.2%
r 4530
 
6.3%
T 4033
 
5.6%
A 4033
 
5.6%
Y 3902
 
5.5%
g 3902
 
5.5%
Other values (15) 11995
16.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 34768
48.7%
Space Separator 16001
22.4%
Uppercase Letter 13609
 
19.0%
Decimal Number 7072
 
9.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 6922
19.9%
e 5674
16.3%
a 5281
15.2%
s 5177
14.9%
r 4530
13.0%
g 3902
11.2%
n 1510
 
4.3%
h 1379
 
4.0%
f 131
 
0.4%
t 131
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
T 4033
29.6%
A 4033
29.6%
Y 3902
28.7%
L 1144
 
8.4%
M 235
 
1.7%
P 131
 
1.0%
N 131
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 2938
41.5%
2 1147
 
16.2%
3 964
 
13.6%
4 964
 
13.6%
0 647
 
9.1%
5 412
 
5.8%
Space Separator
ValueCountFrequency (%)
16001
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 48377
67.7%
Common 23073
32.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 6922
14.3%
e 5674
11.7%
a 5281
10.9%
s 5177
10.7%
r 4530
9.4%
T 4033
8.3%
A 4033
8.3%
Y 3902
8.1%
g 3902
8.1%
n 1510
 
3.1%
Other values (8) 3413
7.1%
Common
ValueCountFrequency (%)
16001
69.3%
1 2938
 
12.7%
2 1147
 
5.0%
3 964
 
4.2%
4 964
 
4.2%
0 647
 
2.8%
5 412
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16001
22.4%
o 6922
9.7%
e 5674
 
7.9%
a 5281
 
7.4%
s 5177
 
7.2%
r 4530
 
6.3%
T 4033
 
5.6%
A 4033
 
5.6%
Y 3902
 
5.5%
g 3902
 
5.5%
Other values (15) 11995
16.8%

q010
Categorical

Distinct7
Distinct (%)0.2%
Missing30
Missing (%)0.7%
Memory size31.8 KiB
Once Per Month
1666 
Two Times Per Month
1108 
Every Two Months
694 
Every 6 Months
168 
Less Than Twice A Year
 
139
Other values (2)
245 

Length

Max length22
Median length20
Mean length15.966418
Min length5

Characters and Unicode

Total characters64185
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTwo Times Per Month
2nd rowOther
3rd rowTwo Times Per Month
4th rowTwo Times Per Month
5th rowOther

Common Values

ValueCountFrequency (%)
Once Per Month 1666
41.1%
Two Times Per Month 1108
27.4%
Every Two Months 694
17.1%
Every 6 Months 168
 
4.1%
Less Than Twice A Year 139
 
3.4%
Prefer Not To Answer 138
 
3.4%
Other 107
 
2.6%
(Missing) 30
 
0.7%

Length

2024-07-12T16:56:52.212595image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:52.372997image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
month 2774
20.7%
per 2774
20.7%
two 1802
13.5%
once 1666
12.5%
times 1108
 
8.3%
every 862
 
6.4%
months 862
 
6.4%
6 168
 
1.3%
a 139
 
1.0%
year 139
 
1.0%
Other values (8) 1076
 
8.0%

Most occurring characters

ValueCountFrequency (%)
9350
14.6%
e 7348
11.4%
o 5714
8.9%
n 5579
 
8.7%
r 4296
 
6.7%
h 3882
 
6.0%
t 3881
 
6.0%
M 3636
 
5.7%
T 3326
 
5.2%
P 2912
 
4.5%
Other values (16) 14261
22.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 41465
64.6%
Uppercase Letter 13202
 
20.6%
Space Separator 9350
 
14.6%
Decimal Number 168
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7348
17.7%
o 5714
13.8%
n 5579
13.5%
r 4296
10.4%
h 3882
9.4%
t 3881
9.4%
s 2386
 
5.8%
w 2079
 
5.0%
c 1805
 
4.4%
i 1247
 
3.0%
Other values (5) 3248
7.8%
Uppercase Letter
ValueCountFrequency (%)
M 3636
27.5%
T 3326
25.2%
P 2912
22.1%
O 1773
13.4%
E 862
 
6.5%
A 277
 
2.1%
L 139
 
1.1%
Y 139
 
1.1%
N 138
 
1.0%
Space Separator
ValueCountFrequency (%)
9350
100.0%
Decimal Number
ValueCountFrequency (%)
6 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 54667
85.2%
Common 9518
 
14.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7348
13.4%
o 5714
10.5%
n 5579
10.2%
r 4296
 
7.9%
h 3882
 
7.1%
t 3881
 
7.1%
M 3636
 
6.7%
T 3326
 
6.1%
P 2912
 
5.3%
s 2386
 
4.4%
Other values (14) 11707
21.4%
Common
ValueCountFrequency (%)
9350
98.2%
6 168
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9350
14.6%
e 7348
11.4%
o 5714
8.9%
n 5579
 
8.7%
r 4296
 
6.7%
h 3882
 
6.0%
t 3881
 
6.0%
M 3636
 
5.7%
T 3326
 
5.2%
P 2912
 
4.5%
Other values (16) 14261
22.2%

q011a
Categorical

Distinct11
Distinct (%)0.3%
Missing19
Missing (%)0.5%
Memory size31.8 KiB
I Do Not Visit Other Food Programs
838 
Two Times A Month
652 
More Than Once A Week But Less Than Daily
567 
Once A Week
455 
Daily
381 
Other values (6)
1138 

Length

Max length41
Median length24
Mean length22.650707
Min length5

Characters and Unicode

Total characters91305
Distinct characters41
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMore Than Once A Week But Less Than Daily
2nd rowI Do Not Visit Other Food Programs
3rd rowTwo Times A Month
4th rowMore Than Once A Week But Less Than Daily
5th rowI Do Not Visit Other Food Programs

Common Values

ValueCountFrequency (%)
I Do Not Visit Other Food Programs 838
20.7%
Two Times A Month 652
16.1%
More Than Once A Week But Less Than Daily 567
14.0%
Once A Week 455
11.2%
Daily 381
9.4%
Every Two Months 378
9.3%
Less Than Every 6 Months 269
 
6.6%
Prefer Not To Answer 255
 
6.3%
Don't Visit Every Month 153
 
3.8%
Other 81
 
2.0%
(Missing) 19
 
0.5%

Length

2024-07-12T16:56:52.534874image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a 1674
 
8.6%
than 1403
 
7.2%
not 1093
 
5.6%
two 1030
 
5.3%
once 1022
 
5.2%
week 1022
 
5.2%
visit 991
 
5.1%
daily 948
 
4.9%
other 921
 
4.7%
do 838
 
4.3%
Other values (17) 8579
43.9%

Most occurring characters

ValueCountFrequency (%)
15490
17.0%
o 7902
 
8.7%
e 7613
 
8.3%
t 5177
 
5.7%
s 5057
 
5.5%
r 4729
 
5.2%
n 4285
 
4.7%
h 3776
 
4.1%
i 3584
 
3.9%
T 3340
 
3.7%
Other values (31) 30352
33.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 56137
61.5%
Uppercase Letter 19252
 
21.1%
Space Separator 15490
 
17.0%
Decimal Number 269
 
0.3%
Other Punctuation 153
 
0.2%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 7902
14.1%
e 7613
13.6%
t 5177
9.2%
s 5057
9.0%
r 4729
8.4%
n 4285
7.6%
h 3776
6.7%
i 3584
 
6.4%
a 3191
 
5.7%
y 1750
 
3.1%
Other values (11) 9073
16.2%
Uppercase Letter
ValueCountFrequency (%)
T 3340
17.3%
M 2019
10.5%
O 1943
10.1%
D 1939
10.1%
A 1929
10.0%
P 1095
 
5.7%
N 1093
 
5.7%
W 1022
 
5.3%
V 991
 
5.1%
I 838
 
4.4%
Other values (5) 3043
15.8%
Space Separator
ValueCountFrequency (%)
15490
100.0%
Decimal Number
ValueCountFrequency (%)
6 269
100.0%
Other Punctuation
ValueCountFrequency (%)
' 153
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 75389
82.6%
Common 15916
 
17.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 7902
 
10.5%
e 7613
 
10.1%
t 5177
 
6.9%
s 5057
 
6.7%
r 4729
 
6.3%
n 4285
 
5.7%
h 3776
 
5.0%
i 3584
 
4.8%
T 3340
 
4.4%
a 3191
 
4.2%
Other values (26) 26735
35.5%
Common
ValueCountFrequency (%)
15490
97.3%
6 269
 
1.7%
' 153
 
1.0%
( 2
 
< 0.1%
) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91305
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15490
17.0%
o 7902
 
8.7%
e 7613
 
8.3%
t 5177
 
5.7%
s 5057
 
5.5%
r 4729
 
5.2%
n 4285
 
4.7%
h 3776
 
4.1%
i 3584
 
3.9%
T 3340
 
3.7%
Other values (31) 30352
33.2%

q013
Categorical

Distinct6
Distinct (%)0.1%
Missing43
Missing (%)1.1%
Memory size31.8 KiB
One
1516 
2 To 3
1384 
Don't Visit Every Month
416 
None Of The Above
288 
More Than 4
236 

Length

Max length23
Median length20
Mean length8.2984777
Min length3

Characters and Unicode

Total characters33252
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOne
2nd rowNone Of The Above
3rd rowNone Of The Above
4th row2 To 3
5th rowDon't Visit Every Month

Common Values

ValueCountFrequency (%)
One 1516
37.4%
2 To 3 1384
34.2%
Don't Visit Every Month 416
 
10.3%
None Of The Above 288
 
7.1%
More Than 4 236
 
5.8%
Prefer Not To Answer 167
 
4.1%
(Missing) 43
 
1.1%

Length

2024-07-12T16:56:52.889747image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:53.050572image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
to 1551
15.7%
one 1516
15.4%
3 1384
14.0%
2 1384
14.0%
don't 416
 
4.2%
visit 416
 
4.2%
every 416
 
4.2%
month 416
 
4.2%
the 288
 
2.9%
above 288
 
2.9%
Other values (8) 1785
18.1%

Most occurring characters

ValueCountFrequency (%)
5853
17.6%
e 3533
10.6%
o 3362
10.1%
n 3039
 
9.1%
T 2075
 
6.2%
O 1804
 
5.4%
t 1415
 
4.3%
2 1384
 
4.2%
3 1384
 
4.2%
r 1153
 
3.5%
Other values (18) 8250
24.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17123
51.5%
Uppercase Letter 6856
20.6%
Space Separator 5853
 
17.6%
Decimal Number 3004
 
9.0%
Other Punctuation 416
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3533
20.6%
o 3362
19.6%
n 3039
17.7%
t 1415
8.3%
r 1153
 
6.7%
h 940
 
5.5%
i 832
 
4.9%
v 704
 
4.1%
s 583
 
3.4%
f 455
 
2.7%
Other values (4) 1107
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
T 2075
30.3%
O 1804
26.3%
M 652
 
9.5%
N 455
 
6.6%
A 455
 
6.6%
E 416
 
6.1%
V 416
 
6.1%
D 416
 
6.1%
P 167
 
2.4%
Decimal Number
ValueCountFrequency (%)
2 1384
46.1%
3 1384
46.1%
4 236
 
7.9%
Space Separator
ValueCountFrequency (%)
5853
100.0%
Other Punctuation
ValueCountFrequency (%)
' 416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 23979
72.1%
Common 9273
 
27.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3533
14.7%
o 3362
14.0%
n 3039
12.7%
T 2075
8.7%
O 1804
 
7.5%
t 1415
 
5.9%
r 1153
 
4.8%
h 940
 
3.9%
i 832
 
3.5%
v 704
 
2.9%
Other values (13) 5122
21.4%
Common
ValueCountFrequency (%)
5853
63.1%
2 1384
 
14.9%
3 1384
 
14.9%
' 416
 
4.5%
4 236
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5853
17.6%
e 3533
10.6%
o 3362
10.1%
n 3039
 
9.1%
T 2075
 
6.2%
O 1804
 
5.4%
t 1415
 
4.3%
2 1384
 
4.2%
3 1384
 
4.2%
r 1153
 
3.5%
Other values (18) 8250
24.8%

q015
Categorical

Distinct7
Distinct (%)0.2%
Missing32
Missing (%)0.8%
Memory size31.8 KiB
Less Than 30 Minutes
1642 
30-60 Minutes
1443 
60-90 Minutes
545 
More Than 90 Minutes
224 
Prefer Not To Answer
 
162
Other values (2)
 
2

Length

Max length51
Median length20
Mean length16.545545
Min length13

Characters and Unicode

Total characters66480
Distinct characters35
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowLess Than 30 Minutes
2nd rowLess Than 30 Minutes
3rd rowLess Than 30 Minutes
4th rowLess Than 30 Minutes
5th rowLess Than 30 Minutes

Common Values

ValueCountFrequency (%)
Less Than 30 Minutes 1642
40.5%
30-60 Minutes 1443
35.6%
60-90 Minutes 545
 
13.5%
More Than 90 Minutes 224
 
5.5%
Prefer Not To Answer 162
 
4.0%
I Don't Know Anything About Them And Where They Are 1
 
< 0.1%
I Don't Know Its Address. 1
 
< 0.1%
(Missing) 32
 
0.8%

Length

2024-07-12T16:56:53.198590image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:53.351990image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
minutes 3854
31.8%
than 1866
15.4%
less 1642
13.6%
30 1642
13.6%
30-60 1443
 
11.9%
60-90 545
 
4.5%
more 224
 
1.9%
90 224
 
1.9%
prefer 162
 
1.3%
not 162
 
1.3%
Other values (14) 339
 
2.8%

Most occurring characters

ValueCountFrequency (%)
8085
12.2%
s 7303
11.0%
e 6212
9.3%
n 5889
8.9%
0 5842
8.8%
M 4078
 
6.1%
t 4021
 
6.0%
i 3855
 
5.8%
u 3855
 
5.8%
3 3085
 
4.6%
Other values (25) 14255
21.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 36471
54.9%
Decimal Number 11684
 
17.6%
Uppercase Letter 8249
 
12.4%
Space Separator 8085
 
12.2%
Dash Punctuation 1988
 
3.0%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 7303
20.0%
e 6212
17.0%
n 5889
16.1%
t 4021
11.0%
i 3855
10.6%
u 3855
10.6%
h 1870
 
5.1%
a 1866
 
5.1%
r 713
 
2.0%
o 553
 
1.5%
Other values (7) 334
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
M 4078
49.4%
T 2030
24.6%
L 1642
19.9%
A 167
 
2.0%
P 162
 
2.0%
N 162
 
2.0%
I 3
 
< 0.1%
D 2
 
< 0.1%
K 2
 
< 0.1%
W 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 5842
50.0%
3 3085
26.4%
6 1988
 
17.0%
9 769
 
6.6%
Other Punctuation
ValueCountFrequency (%)
' 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
8085
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1988
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 44720
67.3%
Common 21760
32.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 7303
16.3%
e 6212
13.9%
n 5889
13.2%
M 4078
9.1%
t 4021
9.0%
i 3855
8.6%
u 3855
8.6%
T 2030
 
4.5%
h 1870
 
4.2%
a 1866
 
4.2%
Other values (17) 3741
8.4%
Common
ValueCountFrequency (%)
8085
37.2%
0 5842
26.8%
3 3085
 
14.2%
- 1988
 
9.1%
6 1988
 
9.1%
9 769
 
3.5%
' 2
 
< 0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8085
12.2%
s 7303
11.0%
e 6212
9.3%
n 5889
8.9%
0 5842
8.8%
M 4078
 
6.1%
t 4021
 
6.0%
i 3855
 
5.8%
u 3855
 
5.8%
3 3085
 
4.6%
Other values (25) 14255
21.4%

q019
Categorical

Distinct3
Distinct (%)0.1%
Missing27
Missing (%)0.7%
Memory size31.8 KiB
Yes
2745 
No
1146 
Prefer Not To Answer
 
132

Length

Max length20
Median length3
Mean length3.2729306
Min length2

Characters and Unicode

Total characters13167
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowYes
5th rowYes

Common Values

ValueCountFrequency (%)
Yes 2745
67.8%
No 1146
28.3%
Prefer Not To Answer 132
 
3.3%
(Missing) 27
 
0.7%

Length

2024-07-12T16:56:53.507549image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:53.646167image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
yes 2745
62.1%
no 1146
25.9%
prefer 132
 
3.0%
not 132
 
3.0%
to 132
 
3.0%
answer 132
 
3.0%

Most occurring characters

ValueCountFrequency (%)
e 3141
23.9%
s 2877
21.9%
Y 2745
20.8%
o 1410
10.7%
N 1278
9.7%
r 396
 
3.0%
396
 
3.0%
P 132
 
1.0%
f 132
 
1.0%
t 132
 
1.0%
Other values (4) 528
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8352
63.4%
Uppercase Letter 4419
33.6%
Space Separator 396
 
3.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3141
37.6%
s 2877
34.4%
o 1410
16.9%
r 396
 
4.7%
f 132
 
1.6%
t 132
 
1.6%
n 132
 
1.6%
w 132
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
Y 2745
62.1%
N 1278
28.9%
P 132
 
3.0%
T 132
 
3.0%
A 132
 
3.0%
Space Separator
ValueCountFrequency (%)
396
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12771
97.0%
Common 396
 
3.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3141
24.6%
s 2877
22.5%
Y 2745
21.5%
o 1410
11.0%
N 1278
10.0%
r 396
 
3.1%
P 132
 
1.0%
f 132
 
1.0%
t 132
 
1.0%
T 132
 
1.0%
Other values (3) 396
 
3.1%
Common
ValueCountFrequency (%)
396
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13167
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 3141
23.9%
s 2877
21.9%
Y 2745
20.8%
o 1410
10.7%
N 1278
9.7%
r 396
 
3.0%
396
 
3.0%
P 132
 
1.0%
f 132
 
1.0%
t 132
 
1.0%
Other values (4) 528
 
4.0%

q020
Categorical

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)0.2%
Missing212
Missing (%)5.2%
Memory size31.8 KiB
2-4 Times A Week
1431 
Less Than 1 Time A Week
731 
Do Not Exercise
560 
Daily
508 
5 Or More Times A Week
377 

Length

Max length23
Median length22
Mean length16.56149
Min length5

Characters and Unicode

Total characters63563
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLess Than 1 Time A Week
2nd rowLess Than 1 Time A Week
3rd rowLess Than 1 Time A Week
4th row2-4 Times A Week
5th row2-4 Times A Week

Common Values

ValueCountFrequency (%)
2-4 Times A Week 1431
35.3%
Less Than 1 Time A Week 731
18.0%
Do Not Exercise 560
 
13.8%
Daily 508
 
12.5%
5 Or More Times A Week 377
 
9.3%
Prefer Not To Answer 231
 
5.7%
(Missing) 212
 
5.2%

Length

2024-07-12T16:56:53.782104image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:53.934670image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
a 2539
16.4%
week 2539
16.4%
times 1808
11.7%
2-4 1431
9.2%
not 791
 
5.1%
than 731
 
4.7%
1 731
 
4.7%
time 731
 
4.7%
less 731
 
4.7%
do 560
 
3.6%
Other values (8) 2892
18.7%

Most occurring characters

ValueCountFrequency (%)
11646
18.3%
e 10538
16.6%
s 4061
 
6.4%
i 3607
 
5.7%
T 3501
 
5.5%
A 2770
 
4.4%
W 2539
 
4.0%
m 2539
 
4.0%
k 2539
 
4.0%
r 2007
 
3.2%
Other values (23) 17816
28.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 33571
52.8%
Uppercase Letter 12945
 
20.4%
Space Separator 11646
 
18.3%
Decimal Number 3970
 
6.2%
Dash Punctuation 1431
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 10538
31.4%
s 4061
 
12.1%
i 3607
 
10.7%
m 2539
 
7.6%
k 2539
 
7.6%
r 2007
 
6.0%
o 1959
 
5.8%
a 1239
 
3.7%
n 962
 
2.9%
t 791
 
2.4%
Other values (7) 3329
 
9.9%
Uppercase Letter
ValueCountFrequency (%)
T 3501
27.0%
A 2770
21.4%
W 2539
19.6%
D 1068
 
8.3%
N 791
 
6.1%
L 731
 
5.6%
E 560
 
4.3%
O 377
 
2.9%
M 377
 
2.9%
P 231
 
1.8%
Decimal Number
ValueCountFrequency (%)
4 1431
36.0%
2 1431
36.0%
1 731
18.4%
5 377
 
9.5%
Space Separator
ValueCountFrequency (%)
11646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1431
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 46516
73.2%
Common 17047
 
26.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 10538
22.7%
s 4061
 
8.7%
i 3607
 
7.8%
T 3501
 
7.5%
A 2770
 
6.0%
W 2539
 
5.5%
m 2539
 
5.5%
k 2539
 
5.5%
r 2007
 
4.3%
o 1959
 
4.2%
Other values (17) 10456
22.5%
Common
ValueCountFrequency (%)
11646
68.3%
4 1431
 
8.4%
- 1431
 
8.4%
2 1431
 
8.4%
1 731
 
4.3%
5 377
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63563
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11646
18.3%
e 10538
16.6%
s 4061
 
6.4%
i 3607
 
5.7%
T 3501
 
5.5%
A 2770
 
4.4%
W 2539
 
4.0%
m 2539
 
4.0%
k 2539
 
4.0%
r 2007
 
3.2%
Other values (23) 17816
28.0%

q022
Categorical

IMBALANCE  MISSING 

Distinct4
Distinct (%)0.1%
Missing65
Missing (%)1.6%
Memory size31.8 KiB
No
3212 
Not Applicable
418 
Yes
 
295
Prefer Not To Answer
 
60

Length

Max length20
Median length2
Mean length3.6037641
Min length2

Characters and Unicode

Total characters14361
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No 3212
79.3%
Not Applicable 418
 
10.3%
Yes 295
 
7.3%
Prefer Not To Answer 60
 
1.5%
(Missing) 65
 
1.6%

Length

2024-07-12T16:56:54.087052image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:54.232890image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
no 3212
70.1%
not 478
 
10.4%
applicable 418
 
9.1%
yes 295
 
6.4%
prefer 60
 
1.3%
to 60
 
1.3%
answer 60
 
1.3%

Most occurring characters

ValueCountFrequency (%)
o 3750
26.1%
N 3690
25.7%
e 893
 
6.2%
p 836
 
5.8%
l 836
 
5.8%
598
 
4.2%
t 478
 
3.3%
A 478
 
3.3%
a 418
 
2.9%
b 418
 
2.9%
Other values (10) 1966
13.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9180
63.9%
Uppercase Letter 4583
31.9%
Space Separator 598
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 3750
40.8%
e 893
 
9.7%
p 836
 
9.1%
l 836
 
9.1%
t 478
 
5.2%
a 418
 
4.6%
b 418
 
4.6%
c 418
 
4.6%
i 418
 
4.6%
s 355
 
3.9%
Other values (4) 360
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
N 3690
80.5%
A 478
 
10.4%
Y 295
 
6.4%
P 60
 
1.3%
T 60
 
1.3%
Space Separator
ValueCountFrequency (%)
598
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13763
95.8%
Common 598
 
4.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 3750
27.2%
N 3690
26.8%
e 893
 
6.5%
p 836
 
6.1%
l 836
 
6.1%
t 478
 
3.5%
A 478
 
3.5%
a 418
 
3.0%
b 418
 
3.0%
c 418
 
3.0%
Other values (9) 1548
11.2%
Common
ValueCountFrequency (%)
598
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14361
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 3750
26.1%
N 3690
25.7%
e 893
 
6.2%
p 836
 
5.8%
l 836
 
5.8%
598
 
4.2%
t 478
 
3.3%
A 478
 
3.3%
a 418
 
2.9%
b 418
 
2.9%
Other values (10) 1966
13.7%

q025
Categorical

Distinct8
Distinct (%)0.2%
Missing18
Missing (%)0.4%
Memory size31.8 KiB
31-40
1459 
21-30
1130 
41-50
706 
51-60
325 
18-20
183 
Other values (3)
229 

Length

Max length20
Median length5
Mean length5.1760913
Min length5

Characters and Unicode

Total characters20870
Distinct characters25
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31-40
2nd row61-70
3rd row51-60
4th row21-30
5th row21-30

Common Values

ValueCountFrequency (%)
31-40 1459
36.0%
21-30 1130
27.9%
41-50 706
17.4%
51-60 325
 
8.0%
18-20 183
 
4.5%
61-70 134
 
3.3%
Over 70 55
 
1.4%
Prefer Not To Answer 40
 
1.0%
(Missing) 18
 
0.4%

Length

2024-07-12T16:56:54.361734image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:54.521493image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
31-40 1459
34.7%
21-30 1130
26.9%
41-50 706
16.8%
51-60 325
 
7.7%
18-20 183
 
4.3%
61-70 134
 
3.2%
over 55
 
1.3%
70 55
 
1.3%
prefer 40
 
1.0%
not 40
 
1.0%
Other values (2) 80
 
1.9%

Most occurring characters

ValueCountFrequency (%)
0 3992
19.1%
1 3937
18.9%
- 3937
18.9%
3 2589
12.4%
4 2165
10.4%
2 1313
 
6.3%
5 1031
 
4.9%
6 459
 
2.2%
7 189
 
0.9%
8 183
 
0.9%
Other values (15) 1075
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15858
76.0%
Dash Punctuation 3937
 
18.9%
Lowercase Letter 685
 
3.3%
Uppercase Letter 215
 
1.0%
Space Separator 175
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3992
25.2%
1 3937
24.8%
3 2589
16.3%
4 2165
13.7%
2 1313
 
8.3%
5 1031
 
6.5%
6 459
 
2.9%
7 189
 
1.2%
8 183
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
r 175
25.5%
e 175
25.5%
o 80
11.7%
v 55
 
8.0%
f 40
 
5.8%
t 40
 
5.8%
n 40
 
5.8%
s 40
 
5.8%
w 40
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
O 55
25.6%
P 40
18.6%
N 40
18.6%
T 40
18.6%
A 40
18.6%
Dash Punctuation
ValueCountFrequency (%)
- 3937
100.0%
Space Separator
ValueCountFrequency (%)
175
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19970
95.7%
Latin 900
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 175
19.4%
e 175
19.4%
o 80
8.9%
v 55
 
6.1%
O 55
 
6.1%
P 40
 
4.4%
f 40
 
4.4%
N 40
 
4.4%
t 40
 
4.4%
T 40
 
4.4%
Other values (4) 160
17.8%
Common
ValueCountFrequency (%)
0 3992
20.0%
1 3937
19.7%
- 3937
19.7%
3 2589
13.0%
4 2165
10.8%
2 1313
 
6.6%
5 1031
 
5.2%
6 459
 
2.3%
7 189
 
0.9%
8 183
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3992
19.1%
1 3937
18.9%
- 3937
18.9%
3 2589
12.4%
4 2165
10.4%
2 1313
 
6.3%
5 1031
 
4.9%
6 459
 
2.2%
7 189
 
0.9%
8 183
 
0.9%
Other values (15) 1075
 
5.2%

q026
Categorical

Distinct5
Distinct (%)0.1%
Missing18
Missing (%)0.4%
Memory size31.8 KiB
2 To 4
2333 
One
768 
5 To 7
716 
More Than 7
 
146
Prefer Not To Answer
 
69

Length

Max length20
Median length6
Mean length5.8492063
Min length3

Characters and Unicode

Total characters23584
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2 To 4
2nd row2 To 4
3rd row2 To 4
4th row2 To 4
5th row2 To 4

Common Values

ValueCountFrequency (%)
2 To 4 2333
57.6%
One 768
 
19.0%
5 To 7 716
 
17.7%
More Than 7 146
 
3.6%
Prefer Not To Answer 69
 
1.7%
(Missing) 18
 
0.4%

Length

2024-07-12T16:56:54.673981image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:54.825017image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
to 3118
29.3%
2 2333
21.9%
4 2333
21.9%
7 862
 
8.1%
one 768
 
7.2%
5 716
 
6.7%
more 146
 
1.4%
than 146
 
1.4%
prefer 69
 
0.6%
not 69
 
0.6%

Most occurring characters

ValueCountFrequency (%)
6597
28.0%
o 3333
14.1%
T 3264
13.8%
2 2333
 
9.9%
4 2333
 
9.9%
e 1121
 
4.8%
n 983
 
4.2%
7 862
 
3.7%
O 768
 
3.3%
5 716
 
3.0%
Other values (11) 1274
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Space Separator 6597
28.0%
Lowercase Letter 6358
27.0%
Decimal Number 6244
26.5%
Uppercase Letter 4385
18.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 3333
52.4%
e 1121
 
17.6%
n 983
 
15.5%
r 353
 
5.6%
a 146
 
2.3%
h 146
 
2.3%
f 69
 
1.1%
t 69
 
1.1%
s 69
 
1.1%
w 69
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
T 3264
74.4%
O 768
 
17.5%
M 146
 
3.3%
P 69
 
1.6%
N 69
 
1.6%
A 69
 
1.6%
Decimal Number
ValueCountFrequency (%)
2 2333
37.4%
4 2333
37.4%
7 862
 
13.8%
5 716
 
11.5%
Space Separator
ValueCountFrequency (%)
6597
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12841
54.4%
Latin 10743
45.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 3333
31.0%
T 3264
30.4%
e 1121
 
10.4%
n 983
 
9.2%
O 768
 
7.1%
r 353
 
3.3%
a 146
 
1.4%
M 146
 
1.4%
h 146
 
1.4%
P 69
 
0.6%
Other values (6) 414
 
3.9%
Common
ValueCountFrequency (%)
6597
51.4%
2 2333
 
18.2%
4 2333
 
18.2%
7 862
 
6.7%
5 716
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23584
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6597
28.0%
o 3333
14.1%
T 3264
13.8%
2 2333
 
9.9%
4 2333
 
9.9%
e 1121
 
4.8%
n 983
 
4.2%
7 862
 
3.7%
O 768
 
3.3%
5 716
 
3.0%
Other values (11) 1274
 
5.4%

q027
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.1%
Missing850
Missing (%)21.0%
Memory size31.8 KiB
Yes
2331 
No
846 
Prefer Not To Answer
 
23

Length

Max length20
Median length3
Mean length2.8578125
Min length2

Characters and Unicode

Total characters9145
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowNo
3rd rowNo
4th rowNo
5th rowYes

Common Values

ValueCountFrequency (%)
Yes 2331
57.6%
No 846
 
20.9%
Prefer Not To Answer 23
 
0.6%
(Missing) 850
 
21.0%

Length

2024-07-12T16:56:54.967876image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:55.103933image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
yes 2331
71.3%
no 846
 
25.9%
prefer 23
 
0.7%
not 23
 
0.7%
to 23
 
0.7%
answer 23
 
0.7%

Most occurring characters

ValueCountFrequency (%)
e 2400
26.2%
s 2354
25.7%
Y 2331
25.5%
o 892
 
9.8%
N 869
 
9.5%
r 69
 
0.8%
69
 
0.8%
P 23
 
0.3%
f 23
 
0.3%
t 23
 
0.3%
Other values (4) 92
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5807
63.5%
Uppercase Letter 3269
35.7%
Space Separator 69
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2400
41.3%
s 2354
40.5%
o 892
 
15.4%
r 69
 
1.2%
f 23
 
0.4%
t 23
 
0.4%
n 23
 
0.4%
w 23
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
Y 2331
71.3%
N 869
 
26.6%
P 23
 
0.7%
T 23
 
0.7%
A 23
 
0.7%
Space Separator
ValueCountFrequency (%)
69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9076
99.2%
Common 69
 
0.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2400
26.4%
s 2354
25.9%
Y 2331
25.7%
o 892
 
9.8%
N 869
 
9.6%
r 69
 
0.8%
P 23
 
0.3%
f 23
 
0.3%
t 23
 
0.3%
T 23
 
0.3%
Other values (3) 69
 
0.8%
Common
ValueCountFrequency (%)
69
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9145
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2400
26.2%
s 2354
25.7%
Y 2331
25.5%
o 892
 
9.8%
N 869
 
9.5%
r 69
 
0.8%
69
 
0.8%
P 23
 
0.3%
f 23
 
0.3%
t 23
 
0.3%
Other values (4) 92
 
1.0%

q034
Categorical

Distinct4
Distinct (%)0.1%
Missing94
Missing (%)2.3%
Memory size31.8 KiB
No
2309 
Yes
1398 
Prefer Not To Answer
 
134
Received Canadian Equivalency
 
115

Length

Max length29
Median length2
Mean length3.7479778
Min length2

Characters and Unicode

Total characters14827
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowYes
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No 2309
57.0%
Yes 1398
34.5%
Prefer Not To Answer 134
 
3.3%
Received Canadian Equivalency 115
 
2.8%
(Missing) 94
 
2.3%

Length

2024-07-12T16:56:55.223699image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:55.362020image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
no 2309
50.3%
yes 1398
30.5%
prefer 134
 
2.9%
not 134
 
2.9%
to 134
 
2.9%
answer 134
 
2.9%
received 115
 
2.5%
canadian 115
 
2.5%
equivalency 115
 
2.5%

Most occurring characters

ValueCountFrequency (%)
o 2577
17.4%
N 2443
16.5%
e 2260
15.2%
s 1532
10.3%
Y 1398
9.4%
632
 
4.3%
n 479
 
3.2%
a 460
 
3.1%
r 402
 
2.7%
i 345
 
2.3%
Other values (16) 2299
15.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9607
64.8%
Uppercase Letter 4588
30.9%
Space Separator 632
 
4.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2577
26.8%
e 2260
23.5%
s 1532
15.9%
n 479
 
5.0%
a 460
 
4.8%
r 402
 
4.2%
i 345
 
3.6%
d 230
 
2.4%
v 230
 
2.4%
c 230
 
2.4%
Other values (7) 862
 
9.0%
Uppercase Letter
ValueCountFrequency (%)
N 2443
53.2%
Y 1398
30.5%
A 134
 
2.9%
T 134
 
2.9%
P 134
 
2.9%
R 115
 
2.5%
C 115
 
2.5%
E 115
 
2.5%
Space Separator
ValueCountFrequency (%)
632
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14195
95.7%
Common 632
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2577
18.2%
N 2443
17.2%
e 2260
15.9%
s 1532
10.8%
Y 1398
9.8%
n 479
 
3.4%
a 460
 
3.2%
r 402
 
2.8%
i 345
 
2.4%
d 230
 
1.6%
Other values (15) 2069
14.6%
Common
ValueCountFrequency (%)
632
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14827
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2577
17.4%
N 2443
16.5%
e 2260
15.2%
s 1532
10.3%
Y 1398
9.4%
632
 
4.3%
n 479
 
3.2%
a 460
 
3.1%
r 402
 
2.7%
i 345
 
2.3%
Other values (16) 2299
15.5%

q035a
Categorical

Distinct9
Distinct (%)0.2%
Missing82
Missing (%)2.0%
Memory size31.8 KiB
Canadian Citizen
2437 
Permanent Resident
844 
Refugee
 
211
International Student
 
134
Prefer Not To Answer
 
121
Other values (4)
 
221

Length

Max length27
Median length16
Mean length16.310988
Min length5

Characters and Unicode

Total characters64722
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCanadian Citizen
2nd rowPermanent Resident
3rd rowPermanent Resident
4th rowCanadian Citizen
5th rowCanadian Citizen

Common Values

ValueCountFrequency (%)
Canadian Citizen 2437
60.2%
Permanent Resident 844
 
20.8%
Refugee 211
 
5.2%
International Student 134
 
3.3%
Prefer Not To Answer 121
 
3.0%
Migrant Worker 108
 
2.7%
Applying For Refugee Status 78
 
1.9%
Other 33
 
0.8%
Other (Please Specify) 2
 
< 0.1%
(Missing) 82
 
2.0%

Length

2024-07-12T16:56:55.537685image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:56.047434image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
canadian 2437
30.1%
citizen 2437
30.1%
permanent 844
 
10.4%
resident 844
 
10.4%
refugee 289
 
3.6%
international 134
 
1.7%
student 134
 
1.7%
answer 121
 
1.5%
to 121
 
1.5%
not 121
 
1.5%
Other values (9) 610
 
7.5%

Most occurring characters

ValueCountFrequency (%)
n 10686
16.5%
a 8611
13.3%
i 8477
13.1%
e 7460
11.5%
t 5081
7.9%
C 4874
7.5%
4124
 
6.4%
d 3415
 
5.3%
z 2437
 
3.8%
r 1778
 
2.7%
Other values (26) 7779
12.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 52502
81.1%
Uppercase Letter 8092
 
12.5%
Space Separator 4124
 
6.4%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 10686
20.4%
a 8611
16.4%
i 8477
16.1%
e 7460
14.2%
t 5081
9.7%
d 3415
 
6.5%
z 2437
 
4.6%
r 1778
 
3.4%
s 1045
 
2.0%
m 844
 
1.6%
Other values (11) 2668
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
C 4874
60.2%
R 1133
 
14.0%
P 967
 
12.0%
S 214
 
2.6%
A 199
 
2.5%
I 134
 
1.7%
N 121
 
1.5%
T 121
 
1.5%
M 108
 
1.3%
W 108
 
1.3%
Other values (2) 113
 
1.4%
Space Separator
ValueCountFrequency (%)
4124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 60594
93.6%
Common 4128
 
6.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 10686
17.6%
a 8611
14.2%
i 8477
14.0%
e 7460
12.3%
t 5081
8.4%
C 4874
8.0%
d 3415
 
5.6%
z 2437
 
4.0%
r 1778
 
2.9%
R 1133
 
1.9%
Other values (23) 6642
11.0%
Common
ValueCountFrequency (%)
4124
99.9%
( 2
 
< 0.1%
) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64722
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 10686
16.5%
a 8611
13.3%
i 8477
13.1%
e 7460
11.5%
t 5081
7.9%
C 4874
7.5%
4124
 
6.4%
d 3415
 
5.3%
z 2437
 
3.8%
r 1778
 
2.7%
Other values (26) 7779
12.0%

q036a
Categorical

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct6
Distinct (%)0.2%
Missing68
Missing (%)1.7%
Memory size31.8 KiB
Woman
2142 
Man
1712 
Prefer Not To Answer
 
69
Trans Woman
 
27
Trans Man
 
17

Length

Max length43
Median length5
Mean length4.6009543
Min length3

Characters and Unicode

Total characters18321
Distinct characters30
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWoman
2nd rowMan
3rd rowWoman
4th rowMan
5th rowWoman

Common Values

ValueCountFrequency (%)
Woman 2142
52.9%
Man 1712
42.3%
Prefer Not To Answer 69
 
1.7%
Trans Woman 27
 
0.7%
Trans Man 17
 
0.4%
If None Of The Above, Please Self-Identify: 15
 
0.4%
(Missing) 68
 
1.7%

Length

2024-07-12T16:56:56.268529image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:56.441911image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
woman 2169
50.2%
man 1729
40.0%
prefer 69
 
1.6%
not 69
 
1.6%
to 69
 
1.6%
answer 69
 
1.6%
trans 44
 
1.0%
if 15
 
0.3%
none 15
 
0.3%
of 15
 
0.3%
Other values (4) 60
 
1.4%

Most occurring characters

ValueCountFrequency (%)
n 4041
22.1%
a 3957
21.6%
o 2337
12.8%
W 2169
11.8%
m 2169
11.8%
M 1729
9.4%
341
 
1.9%
e 312
 
1.7%
r 251
 
1.4%
f 129
 
0.7%
Other values (20) 886
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13597
74.2%
Uppercase Letter 4338
 
23.7%
Space Separator 341
 
1.9%
Other Punctuation 30
 
0.2%
Dash Punctuation 15
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 4041
29.7%
a 3957
29.1%
o 2337
17.2%
m 2169
16.0%
e 312
 
2.3%
r 251
 
1.8%
f 129
 
0.9%
s 128
 
0.9%
t 84
 
0.6%
w 69
 
0.5%
Other values (7) 120
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
W 2169
50.0%
M 1729
39.9%
T 128
 
3.0%
A 84
 
1.9%
P 84
 
1.9%
N 84
 
1.9%
I 30
 
0.7%
S 15
 
0.3%
O 15
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 15
50.0%
: 15
50.0%
Space Separator
ValueCountFrequency (%)
341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17935
97.9%
Common 386
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 4041
22.5%
a 3957
22.1%
o 2337
13.0%
W 2169
12.1%
m 2169
12.1%
M 1729
9.6%
e 312
 
1.7%
r 251
 
1.4%
f 129
 
0.7%
T 128
 
0.7%
Other values (16) 713
 
4.0%
Common
ValueCountFrequency (%)
341
88.3%
- 15
 
3.9%
, 15
 
3.9%
: 15
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18321
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 4041
22.1%
a 3957
21.6%
o 2337
12.8%
W 2169
11.8%
m 2169
11.8%
M 1729
9.4%
341
 
1.9%
e 312
 
1.7%
r 251
 
1.4%
f 129
 
0.7%
Other values (20) 886
 
4.8%

q037
Categorical

Distinct7
Distinct (%)0.2%
Missing534
Missing (%)13.2%
Memory size31.8 KiB
Canadian Born
1912 
10 Or More Years
552 
1-4 Years
534 
5-9 Years
425 
Prefer Not To Answer
 
45
Other values (2)
 
48

Length

Max length20
Median length13
Mean length12.490046
Min length9

Characters and Unicode

Total characters43915
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCanadian Born
2nd rowCanadian Born
3rd rowCanadian Born
4th rowCanadian Born
5th rowCanadian Born

Common Values

ValueCountFrequency (%)
Canadian Born 1912
47.2%
10 Or More Years 552
 
13.6%
1-4 Years 534
 
13.2%
5-9 Years 425
 
10.5%
Prefer Not To Answer 45
 
1.1%
Not Applicable 36
 
0.9%
Less Than 1 Year 12
 
0.3%
(Missing) 534
 
13.2%

Length

2024-07-12T16:56:56.605881image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:56.773662image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
canadian 1912
23.2%
born 1912
23.2%
years 1511
18.3%
10 552
 
6.7%
or 552
 
6.7%
more 552
 
6.7%
1-4 534
 
6.5%
5-9 425
 
5.2%
not 81
 
1.0%
answer 45
 
0.5%
Other values (7) 174
 
2.1%

Most occurring characters

ValueCountFrequency (%)
a 7307
16.6%
n 5793
13.2%
4734
10.8%
r 4674
10.6%
o 2590
 
5.9%
e 2258
 
5.1%
i 1948
 
4.4%
C 1912
 
4.4%
d 1912
 
4.4%
B 1912
 
4.4%
Other values (23) 8875
20.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28461
64.8%
Uppercase Letter 6727
 
15.3%
Space Separator 4734
 
10.8%
Decimal Number 3034
 
6.9%
Dash Punctuation 959
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 7307
25.7%
n 5793
20.4%
r 4674
16.4%
o 2590
 
9.1%
e 2258
 
7.9%
i 1948
 
6.8%
d 1912
 
6.7%
s 1580
 
5.6%
t 81
 
0.3%
p 72
 
0.3%
Other values (6) 246
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 1912
28.4%
B 1912
28.4%
Y 1523
22.6%
M 552
 
8.2%
O 552
 
8.2%
N 81
 
1.2%
A 81
 
1.2%
T 57
 
0.8%
P 45
 
0.7%
L 12
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 1098
36.2%
0 552
18.2%
4 534
17.6%
5 425
 
14.0%
9 425
 
14.0%
Space Separator
ValueCountFrequency (%)
4734
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 959
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35188
80.1%
Common 8727
 
19.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 7307
20.8%
n 5793
16.5%
r 4674
13.3%
o 2590
 
7.4%
e 2258
 
6.4%
i 1948
 
5.5%
C 1912
 
5.4%
d 1912
 
5.4%
B 1912
 
5.4%
s 1580
 
4.5%
Other values (16) 3302
9.4%
Common
ValueCountFrequency (%)
4734
54.2%
1 1098
 
12.6%
- 959
 
11.0%
0 552
 
6.3%
4 534
 
6.1%
5 425
 
4.9%
9 425
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43915
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 7307
16.6%
n 5793
13.2%
4734
10.8%
r 4674
10.6%
o 2590
 
5.9%
e 2258
 
5.1%
i 1948
 
4.4%
C 1912
 
4.4%
d 1912
 
4.4%
B 1912
 
4.4%
Other values (23) 8875
20.2%

q040a
Categorical

Distinct12
Distinct (%)0.3%
Missing103
Missing (%)2.5%
Memory size31.8 KiB
Private Rental Housing
1515 
Social Rental Housing
650 
Own Home (Mortgaged Or Fully Owned)
617 
Supportive Housing
306 
With Family Or Friends
273 
Other values (7)
586 

Length

Max length35
Median length24
Mean length22.334938
Min length5

Characters and Unicode

Total characters88156
Distinct characters37
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPrivate Rental Housing
2nd rowPrivate Rental Housing
3rd rowPrivate Rental Housing
4th rowWith Family Or Friends
5th rowPrivate Rental Housing

Common Values

ValueCountFrequency (%)
Private Rental Housing 1515
37.4%
Social Rental Housing 650
16.0%
Own Home (Mortgaged Or Fully Owned) 617
15.2%
Supportive Housing 306
 
7.6%
With Family Or Friends 273
 
6.7%
Prefer Not To Answer 170
 
4.2%
Rooming House 167
 
4.1%
Shelter 155
 
3.8%
Group Home/Youth Shelter 40
 
1.0%
Other 37
 
0.9%
Other values (2) 17
 
0.4%
(Missing) 103
 
2.5%

Length

2024-07-12T16:56:56.958598image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
housing 2471
18.6%
rental 2165
16.3%
private 1515
11.4%
or 890
 
6.7%
social 650
 
4.9%
own 617
 
4.6%
home 617
 
4.6%
mortgaged 617
 
4.6%
fully 617
 
4.6%
owned 617
 
4.6%
Other values (19) 2502
18.8%

Most occurring characters

ValueCountFrequency (%)
9331
 
10.6%
e 7310
 
8.3%
n 6492
 
7.4%
i 5933
 
6.7%
o 5622
 
6.4%
t 5347
 
6.1%
a 5225
 
5.9%
l 4522
 
5.1%
r 4400
 
5.0%
g 3872
 
4.4%
Other values (27) 30102
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 64223
72.9%
Uppercase Letter 13318
 
15.1%
Space Separator 9331
 
10.6%
Close Punctuation 622
 
0.7%
Open Punctuation 622
 
0.7%
Other Punctuation 40
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7310
11.4%
n 6492
10.1%
i 5933
9.2%
o 5622
8.8%
t 5347
8.3%
a 5225
8.1%
l 4522
 
7.0%
r 4400
 
6.9%
g 3872
 
6.0%
u 3641
 
5.7%
Other values (10) 11859
18.5%
Uppercase Letter
ValueCountFrequency (%)
H 3295
24.7%
R 2332
17.5%
O 2178
16.4%
P 1690
12.7%
S 1168
 
8.8%
F 1163
 
8.7%
M 617
 
4.6%
W 273
 
2.0%
T 182
 
1.4%
N 170
 
1.3%
Other values (3) 250
 
1.9%
Space Separator
ValueCountFrequency (%)
9331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 622
100.0%
Open Punctuation
ValueCountFrequency (%)
( 622
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 77541
88.0%
Common 10615
 
12.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7310
 
9.4%
n 6492
 
8.4%
i 5933
 
7.7%
o 5622
 
7.3%
t 5347
 
6.9%
a 5225
 
6.7%
l 4522
 
5.8%
r 4400
 
5.7%
g 3872
 
5.0%
u 3641
 
4.7%
Other values (23) 25177
32.5%
Common
ValueCountFrequency (%)
9331
87.9%
) 622
 
5.9%
( 622
 
5.9%
/ 40
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88156
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9331
 
10.6%
e 7310
 
8.3%
n 6492
 
7.4%
i 5933
 
6.7%
o 5622
 
6.4%
t 5347
 
6.1%
a 5225
 
5.9%
l 4522
 
5.1%
r 4400
 
5.0%
g 3872
 
4.4%
Other values (27) 30102
34.1%

q014a
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
2864 
1
1186 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2864
70.7%
1 1186
29.3%

Length

2024-07-12T16:56:57.106162image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:57.264696image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2864
70.7%
1 1186
29.3%

Most occurring characters

ValueCountFrequency (%)
0 2864
70.7%
1 1186
29.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2864
70.7%
1 1186
29.3%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2864
70.7%
1 1186
29.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2864
70.7%
1 1186
29.3%

q014b
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3450 
1
600 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3450
85.2%
1 600
 
14.8%

Length

2024-07-12T16:56:57.391327image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:57.534233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3450
85.2%
1 600
 
14.8%

Most occurring characters

ValueCountFrequency (%)
0 3450
85.2%
1 600
 
14.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3450
85.2%
1 600
 
14.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3450
85.2%
1 600
 
14.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3450
85.2%
1 600
 
14.8%

q014c
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3553 
1
497 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3553
87.7%
1 497
 
12.3%

Length

2024-07-12T16:56:57.658915image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:57.800460image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3553
87.7%
1 497
 
12.3%

Most occurring characters

ValueCountFrequency (%)
0 3553
87.7%
1 497
 
12.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3553
87.7%
1 497
 
12.3%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3553
87.7%
1 497
 
12.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3553
87.7%
1 497
 
12.3%

q014d
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3590 
1
460 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3590
88.6%
1 460
 
11.4%

Length

2024-07-12T16:56:57.929748image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:58.072585image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3590
88.6%
1 460
 
11.4%

Most occurring characters

ValueCountFrequency (%)
0 3590
88.6%
1 460
 
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3590
88.6%
1 460
 
11.4%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3590
88.6%
1 460
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3590
88.6%
1 460
 
11.4%

q014e
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
2768 
1
1282 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 2768
68.3%
1 1282
31.7%

Length

2024-07-12T16:56:58.433920image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:58.576209image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2768
68.3%
1 1282
31.7%

Most occurring characters

ValueCountFrequency (%)
0 2768
68.3%
1 1282
31.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2768
68.3%
1 1282
31.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2768
68.3%
1 1282
31.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2768
68.3%
1 1282
31.7%

q014f
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3254 
1
796 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3254
80.3%
1 796
 
19.7%

Length

2024-07-12T16:56:58.699519image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:58.843079image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3254
80.3%
1 796
 
19.7%

Most occurring characters

ValueCountFrequency (%)
0 3254
80.3%
1 796
 
19.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3254
80.3%
1 796
 
19.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3254
80.3%
1 796
 
19.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3254
80.3%
1 796
 
19.7%

q014g
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3850 
1
 
200

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3850
95.1%
1 200
 
4.9%

Length

2024-07-12T16:56:58.963338image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:59.142818image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3850
95.1%
1 200
 
4.9%

Most occurring characters

ValueCountFrequency (%)
0 3850
95.1%
1 200
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3850
95.1%
1 200
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3850
95.1%
1 200
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3850
95.1%
1 200
 
4.9%

q016a
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
2694 
1
1356 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 2694
66.5%
1 1356
33.5%

Length

2024-07-12T16:56:59.264069image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:59.410274image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2694
66.5%
1 1356
33.5%

Most occurring characters

ValueCountFrequency (%)
0 2694
66.5%
1 1356
33.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2694
66.5%
1 1356
33.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2694
66.5%
1 1356
33.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2694
66.5%
1 1356
33.5%

q016b
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3526 
1
524 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3526
87.1%
1 524
 
12.9%

Length

2024-07-12T16:56:59.538279image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:59.686527image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3526
87.1%
1 524
 
12.9%

Most occurring characters

ValueCountFrequency (%)
0 3526
87.1%
1 524
 
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3526
87.1%
1 524
 
12.9%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3526
87.1%
1 524
 
12.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3526
87.1%
1 524
 
12.9%

q016c
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
2062 
1
1988 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2062
50.9%
1 1988
49.1%

Length

2024-07-12T16:56:59.810744image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:56:59.955437image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2062
50.9%
1 1988
49.1%

Most occurring characters

ValueCountFrequency (%)
0 2062
50.9%
1 1988
49.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2062
50.9%
1 1988
49.1%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2062
50.9%
1 1988
49.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2062
50.9%
1 1988
49.1%

q016d
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3140 
1
910 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3140
77.5%
1 910
 
22.5%

Length

2024-07-12T16:57:00.080652image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:00.222341image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3140
77.5%
1 910
 
22.5%

Most occurring characters

ValueCountFrequency (%)
0 3140
77.5%
1 910
 
22.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3140
77.5%
1 910
 
22.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3140
77.5%
1 910
 
22.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3140
77.5%
1 910
 
22.5%

q016e
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3899 
1
 
151

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3899
96.3%
1 151
 
3.7%

Length

2024-07-12T16:57:00.343475image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:00.482881image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3899
96.3%
1 151
 
3.7%

Most occurring characters

ValueCountFrequency (%)
0 3899
96.3%
1 151
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3899
96.3%
1 151
 
3.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3899
96.3%
1 151
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3899
96.3%
1 151
 
3.7%

q017a
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3280 
1
770 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3280
81.0%
1 770
 
19.0%

Length

2024-07-12T16:57:00.601062image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:00.745774image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3280
81.0%
1 770
 
19.0%

Most occurring characters

ValueCountFrequency (%)
0 3280
81.0%
1 770
 
19.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3280
81.0%
1 770
 
19.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3280
81.0%
1 770
 
19.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3280
81.0%
1 770
 
19.0%

q017b
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3212 
1
838 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3212
79.3%
1 838
 
20.7%

Length

2024-07-12T16:57:00.870506image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:01.016362image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3212
79.3%
1 838
 
20.7%

Most occurring characters

ValueCountFrequency (%)
0 3212
79.3%
1 838
 
20.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3212
79.3%
1 838
 
20.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3212
79.3%
1 838
 
20.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3212
79.3%
1 838
 
20.7%

q017c
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3509 
1
541 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3509
86.6%
1 541
 
13.4%

Length

2024-07-12T16:57:01.139538image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:01.284135image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3509
86.6%
1 541
 
13.4%

Most occurring characters

ValueCountFrequency (%)
0 3509
86.6%
1 541
 
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3509
86.6%
1 541
 
13.4%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3509
86.6%
1 541
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3509
86.6%
1 541
 
13.4%

q017d
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3648 
1
402 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3648
90.1%
1 402
 
9.9%

Length

2024-07-12T16:57:01.407445image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:01.546415image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3648
90.1%
1 402
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0 3648
90.1%
1 402
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3648
90.1%
1 402
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3648
90.1%
1 402
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3648
90.1%
1 402
 
9.9%

q017e
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3703 
1
 
347

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3703
91.4%
1 347
 
8.6%

Length

2024-07-12T16:57:01.903386image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:02.166577image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3703
91.4%
1 347
 
8.6%

Most occurring characters

ValueCountFrequency (%)
0 3703
91.4%
1 347
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3703
91.4%
1 347
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3703
91.4%
1 347
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3703
91.4%
1 347
 
8.6%

q017f
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3375 
1
675 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3375
83.3%
1 675
 
16.7%

Length

2024-07-12T16:57:02.296689image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:02.438622image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3375
83.3%
1 675
 
16.7%

Most occurring characters

ValueCountFrequency (%)
0 3375
83.3%
1 675
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3375
83.3%
1 675
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3375
83.3%
1 675
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3375
83.3%
1 675
 
16.7%

q017g
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3537 
1
513 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3537
87.3%
1 513
 
12.7%

Length

2024-07-12T16:57:02.554505image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:02.692150image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3537
87.3%
1 513
 
12.7%

Most occurring characters

ValueCountFrequency (%)
0 3537
87.3%
1 513
 
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3537
87.3%
1 513
 
12.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3537
87.3%
1 513
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3537
87.3%
1 513
 
12.7%

q017h
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3572 
1
478 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3572
88.2%
1 478
 
11.8%

Length

2024-07-12T16:57:02.806648image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:02.937583image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3572
88.2%
1 478
 
11.8%

Most occurring characters

ValueCountFrequency (%)
0 3572
88.2%
1 478
 
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3572
88.2%
1 478
 
11.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3572
88.2%
1 478
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3572
88.2%
1 478
 
11.8%

q017i
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
2687 
1
1363 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 2687
66.3%
1 1363
33.7%

Length

2024-07-12T16:57:03.061418image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:03.206866image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2687
66.3%
1 1363
33.7%

Most occurring characters

ValueCountFrequency (%)
0 2687
66.3%
1 1363
33.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2687
66.3%
1 1363
33.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2687
66.3%
1 1363
33.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2687
66.3%
1 1363
33.7%

q017j
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3791 
1
 
259

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3791
93.6%
1 259
 
6.4%

Length

2024-07-12T16:57:03.323555image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:03.454751image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3791
93.6%
1 259
 
6.4%

Most occurring characters

ValueCountFrequency (%)
0 3791
93.6%
1 259
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3791
93.6%
1 259
 
6.4%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3791
93.6%
1 259
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3791
93.6%
1 259
 
6.4%

q021a
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3719 
1
 
331

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3719
91.8%
1 331
 
8.2%

Length

2024-07-12T16:57:03.562570image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:03.945812image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3719
91.8%
1 331
 
8.2%

Most occurring characters

ValueCountFrequency (%)
0 3719
91.8%
1 331
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3719
91.8%
1 331
 
8.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3719
91.8%
1 331
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3719
91.8%
1 331
 
8.2%

q021b
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3558 
1
492 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3558
87.9%
1 492
 
12.1%

Length

2024-07-12T16:57:04.066418image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:04.199653image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3558
87.9%
1 492
 
12.1%

Most occurring characters

ValueCountFrequency (%)
0 3558
87.9%
1 492
 
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3558
87.9%
1 492
 
12.1%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3558
87.9%
1 492
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3558
87.9%
1 492
 
12.1%

q021c
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3405 
1
645 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3405
84.1%
1 645
 
15.9%

Length

2024-07-12T16:57:04.310544image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:04.443664image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3405
84.1%
1 645
 
15.9%

Most occurring characters

ValueCountFrequency (%)
0 3405
84.1%
1 645
 
15.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3405
84.1%
1 645
 
15.9%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3405
84.1%
1 645
 
15.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3405
84.1%
1 645
 
15.9%

q021d
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3781 
1
 
269

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3781
93.4%
1 269
 
6.6%

Length

2024-07-12T16:57:04.559934image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:04.694229image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3781
93.4%
1 269
 
6.6%

Most occurring characters

ValueCountFrequency (%)
0 3781
93.4%
1 269
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3781
93.4%
1 269
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3781
93.4%
1 269
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3781
93.4%
1 269
 
6.6%

q021e
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
1
2242 
0
1808 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 2242
55.4%
0 1808
44.6%

Length

2024-07-12T16:57:04.809768image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:04.941158image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
1 2242
55.4%
0 1808
44.6%

Most occurring characters

ValueCountFrequency (%)
1 2242
55.4%
0 1808
44.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2242
55.4%
0 1808
44.6%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2242
55.4%
0 1808
44.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2242
55.4%
0 1808
44.6%

q021f
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3707 
1
 
343

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3707
91.5%
1 343
 
8.5%

Length

2024-07-12T16:57:05.059181image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:05.193712image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3707
91.5%
1 343
 
8.5%

Most occurring characters

ValueCountFrequency (%)
0 3707
91.5%
1 343
 
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3707
91.5%
1 343
 
8.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3707
91.5%
1 343
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3707
91.5%
1 343
 
8.5%

q023a
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3961 
1
 
89

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3961
97.8%
1 89
 
2.2%

Length

2024-07-12T16:57:05.311384image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:05.445225image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3961
97.8%
1 89
 
2.2%

Most occurring characters

ValueCountFrequency (%)
0 3961
97.8%
1 89
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3961
97.8%
1 89
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3961
97.8%
1 89
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3961
97.8%
1 89
 
2.2%

q023b
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
2533 
1
1517 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 2533
62.5%
1 1517
37.5%

Length

2024-07-12T16:57:05.563917image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:05.760593image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2533
62.5%
1 1517
37.5%

Most occurring characters

ValueCountFrequency (%)
0 2533
62.5%
1 1517
37.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2533
62.5%
1 1517
37.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2533
62.5%
1 1517
37.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2533
62.5%
1 1517
37.5%

q023c
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3340 
1
710 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3340
82.5%
1 710
 
17.5%

Length

2024-07-12T16:57:05.938863image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:06.115237image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3340
82.5%
1 710
 
17.5%

Most occurring characters

ValueCountFrequency (%)
0 3340
82.5%
1 710
 
17.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3340
82.5%
1 710
 
17.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3340
82.5%
1 710
 
17.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3340
82.5%
1 710
 
17.5%

q023d
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
2383 
1
1667 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2383
58.8%
1 1667
41.2%

Length

2024-07-12T16:57:06.227843image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:06.391773image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2383
58.8%
1 1667
41.2%

Most occurring characters

ValueCountFrequency (%)
0 2383
58.8%
1 1667
41.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2383
58.8%
1 1667
41.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2383
58.8%
1 1667
41.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2383
58.8%
1 1667
41.2%

q023e
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3937 
1
 
113

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3937
97.2%
1 113
 
2.8%

Length

2024-07-12T16:57:06.562892image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:06.801349image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3937
97.2%
1 113
 
2.8%

Most occurring characters

ValueCountFrequency (%)
0 3937
97.2%
1 113
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3937
97.2%
1 113
 
2.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3937
97.2%
1 113
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3937
97.2%
1 113
 
2.8%

q024a
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3137 
1
913 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3137
77.5%
1 913
 
22.5%

Length

2024-07-12T16:57:06.929790image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:07.104794image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3137
77.5%
1 913
 
22.5%

Most occurring characters

ValueCountFrequency (%)
0 3137
77.5%
1 913
 
22.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3137
77.5%
1 913
 
22.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3137
77.5%
1 913
 
22.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3137
77.5%
1 913
 
22.5%

q024b
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3663 
1
387 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3663
90.4%
1 387
 
9.6%

Length

2024-07-12T16:57:07.241646image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:07.397046image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3663
90.4%
1 387
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0 3663
90.4%
1 387
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3663
90.4%
1 387
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3663
90.4%
1 387
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3663
90.4%
1 387
 
9.6%

q024c
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3000 
1
1050 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3000
74.1%
1 1050
 
25.9%

Length

2024-07-12T16:57:07.527222image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:07.722083image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3000
74.1%
1 1050
 
25.9%

Most occurring characters

ValueCountFrequency (%)
0 3000
74.1%
1 1050
 
25.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3000
74.1%
1 1050
 
25.9%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3000
74.1%
1 1050
 
25.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3000
74.1%
1 1050
 
25.9%

q024d
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3267 
1
783 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3267
80.7%
1 783
 
19.3%

Length

2024-07-12T16:57:07.852732image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:08.037921image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3267
80.7%
1 783
 
19.3%

Most occurring characters

ValueCountFrequency (%)
0 3267
80.7%
1 783
 
19.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3267
80.7%
1 783
 
19.3%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3267
80.7%
1 783
 
19.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3267
80.7%
1 783
 
19.3%

q024e
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3417 
1
633 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3417
84.4%
1 633
 
15.6%

Length

2024-07-12T16:57:08.198858image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:08.356503image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3417
84.4%
1 633
 
15.6%

Most occurring characters

ValueCountFrequency (%)
0 3417
84.4%
1 633
 
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3417
84.4%
1 633
 
15.6%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3417
84.4%
1 633
 
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3417
84.4%
1 633
 
15.6%

q024f
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3342 
1
708 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3342
82.5%
1 708
 
17.5%

Length

2024-07-12T16:57:08.491448image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:08.650192image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3342
82.5%
1 708
 
17.5%

Most occurring characters

ValueCountFrequency (%)
0 3342
82.5%
1 708
 
17.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3342
82.5%
1 708
 
17.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3342
82.5%
1 708
 
17.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3342
82.5%
1 708
 
17.5%

q024g
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
2741 
1
1309 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 2741
67.7%
1 1309
32.3%

Length

2024-07-12T16:57:08.795119image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:08.945102image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2741
67.7%
1 1309
32.3%

Most occurring characters

ValueCountFrequency (%)
0 2741
67.7%
1 1309
32.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2741
67.7%
1 1309
32.3%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2741
67.7%
1 1309
32.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2741
67.7%
1 1309
32.3%

q024h
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3893 
1
 
157

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3893
96.1%
1 157
 
3.9%

Length

2024-07-12T16:57:09.091629image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:09.257667image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3893
96.1%
1 157
 
3.9%

Most occurring characters

ValueCountFrequency (%)
0 3893
96.1%
1 157
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3893
96.1%
1 157
 
3.9%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3893
96.1%
1 157
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3893
96.1%
1 157
 
3.9%

q028a
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3770 
1
 
280

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3770
93.1%
1 280
 
6.9%

Length

2024-07-12T16:57:09.631498image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:09.793568image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3770
93.1%
1 280
 
6.9%

Most occurring characters

ValueCountFrequency (%)
0 3770
93.1%
1 280
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3770
93.1%
1 280
 
6.9%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3770
93.1%
1 280
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3770
93.1%
1 280
 
6.9%

q028b
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
2264 
1
1786 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 2264
55.9%
1 1786
44.1%

Length

2024-07-12T16:57:09.924024image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:10.062778image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2264
55.9%
1 1786
44.1%

Most occurring characters

ValueCountFrequency (%)
0 2264
55.9%
1 1786
44.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2264
55.9%
1 1786
44.1%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2264
55.9%
1 1786
44.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2264
55.9%
1 1786
44.1%

q028c
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3834 
1
 
216

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3834
94.7%
1 216
 
5.3%

Length

2024-07-12T16:57:10.177250image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:10.312009image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3834
94.7%
1 216
 
5.3%

Most occurring characters

ValueCountFrequency (%)
0 3834
94.7%
1 216
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3834
94.7%
1 216
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3834
94.7%
1 216
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3834
94.7%
1 216
 
5.3%

q028d
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
4031 
1
 
19

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4031
99.5%
1 19
 
0.5%

Length

2024-07-12T16:57:10.434284image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:10.575734image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 4031
99.5%
1 19
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 4031
99.5%
1 19
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4031
99.5%
1 19
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4031
99.5%
1 19
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4031
99.5%
1 19
 
0.5%

q033a
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3578 
1
472 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3578
88.3%
1 472
 
11.7%

Length

2024-07-12T16:57:10.695073image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:10.833735image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3578
88.3%
1 472
 
11.7%

Most occurring characters

ValueCountFrequency (%)
0 3578
88.3%
1 472
 
11.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3578
88.3%
1 472
 
11.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3578
88.3%
1 472
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3578
88.3%
1 472
 
11.7%

q033b
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3369 
1
681 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3369
83.2%
1 681
 
16.8%

Length

2024-07-12T16:57:10.953099image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:11.090733image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3369
83.2%
1 681
 
16.8%

Most occurring characters

ValueCountFrequency (%)
0 3369
83.2%
1 681
 
16.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3369
83.2%
1 681
 
16.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3369
83.2%
1 681
 
16.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3369
83.2%
1 681
 
16.8%

q033c
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3345 
1
705 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3345
82.6%
1 705
 
17.4%

Length

2024-07-12T16:57:11.207012image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:11.344969image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3345
82.6%
1 705
 
17.4%

Most occurring characters

ValueCountFrequency (%)
0 3345
82.6%
1 705
 
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3345
82.6%
1 705
 
17.4%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3345
82.6%
1 705
 
17.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3345
82.6%
1 705
 
17.4%

q033d
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
2874 
1
1176 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2874
71.0%
1 1176
29.0%

Length

2024-07-12T16:57:11.464007image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:11.607767image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2874
71.0%
1 1176
29.0%

Most occurring characters

ValueCountFrequency (%)
0 2874
71.0%
1 1176
29.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2874
71.0%
1 1176
29.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2874
71.0%
1 1176
29.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2874
71.0%
1 1176
29.0%

q033e
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3828 
1
 
222

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3828
94.5%
1 222
 
5.5%

Length

2024-07-12T16:57:11.745710image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:11.900066image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3828
94.5%
1 222
 
5.5%

Most occurring characters

ValueCountFrequency (%)
0 3828
94.5%
1 222
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3828
94.5%
1 222
 
5.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3828
94.5%
1 222
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3828
94.5%
1 222
 
5.5%

q033f
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3766 
1
 
284

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3766
93.0%
1 284
 
7.0%

Length

2024-07-12T16:57:12.029414image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:12.173020image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3766
93.0%
1 284
 
7.0%

Most occurring characters

ValueCountFrequency (%)
0 3766
93.0%
1 284
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3766
93.0%
1 284
 
7.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3766
93.0%
1 284
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3766
93.0%
1 284
 
7.0%

q033g
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3653 
1
397 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3653
90.2%
1 397
 
9.8%

Length

2024-07-12T16:57:12.293001image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:12.435715image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3653
90.2%
1 397
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0 3653
90.2%
1 397
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3653
90.2%
1 397
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3653
90.2%
1 397
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3653
90.2%
1 397
 
9.8%

q033h
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3797 
1
 
253

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3797
93.8%
1 253
 
6.2%

Length

2024-07-12T16:57:12.556444image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:12.689345image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3797
93.8%
1 253
 
6.2%

Most occurring characters

ValueCountFrequency (%)
0 3797
93.8%
1 253
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3797
93.8%
1 253
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3797
93.8%
1 253
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3797
93.8%
1 253
 
6.2%

q033i
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3867 
1
 
183

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3867
95.5%
1 183
 
4.5%

Length

2024-07-12T16:57:12.800054image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:12.934692image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3867
95.5%
1 183
 
4.5%

Most occurring characters

ValueCountFrequency (%)
0 3867
95.5%
1 183
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3867
95.5%
1 183
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3867
95.5%
1 183
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3867
95.5%
1 183
 
4.5%

q036b
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
4035 
1
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4035
99.6%
1 15
 
0.4%

Length

2024-07-12T16:57:13.058659image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:13.200400image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 4035
99.6%
1 15
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 4035
99.6%
1 15
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4035
99.6%
1 15
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4035
99.6%
1 15
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4035
99.6%
1 15
 
0.4%

q038a
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3534 
1
516 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3534
87.3%
1 516
 
12.7%

Length

2024-07-12T16:57:13.316330image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:13.457928image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3534
87.3%
1 516
 
12.7%

Most occurring characters

ValueCountFrequency (%)
0 3534
87.3%
1 516
 
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3534
87.3%
1 516
 
12.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3534
87.3%
1 516
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3534
87.3%
1 516
 
12.7%

q038b
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
2441 
1
1609 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 2441
60.3%
1 1609
39.7%

Length

2024-07-12T16:57:13.577115image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:13.726908image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2441
60.3%
1 1609
39.7%

Most occurring characters

ValueCountFrequency (%)
0 2441
60.3%
1 1609
39.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2441
60.3%
1 1609
39.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2441
60.3%
1 1609
39.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2441
60.3%
1 1609
39.7%

q038c
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3140 
1
910 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3140
77.5%
1 910
 
22.5%

Length

2024-07-12T16:57:13.853630image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:13.991732image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3140
77.5%
1 910
 
22.5%

Most occurring characters

ValueCountFrequency (%)
0 3140
77.5%
1 910
 
22.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3140
77.5%
1 910
 
22.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3140
77.5%
1 910
 
22.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3140
77.5%
1 910
 
22.5%

q038d
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3964 
1
 
86

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3964
97.9%
1 86
 
2.1%

Length

2024-07-12T16:57:14.111443image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:14.248460image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3964
97.9%
1 86
 
2.1%

Most occurring characters

ValueCountFrequency (%)
0 3964
97.9%
1 86
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3964
97.9%
1 86
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3964
97.9%
1 86
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3964
97.9%
1 86
 
2.1%

q038e
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3952 
1
 
98

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3952
97.6%
1 98
 
2.4%

Length

2024-07-12T16:57:14.366265image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:14.507600image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3952
97.6%
1 98
 
2.4%

Most occurring characters

ValueCountFrequency (%)
0 3952
97.6%
1 98
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3952
97.6%
1 98
 
2.4%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3952
97.6%
1 98
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3952
97.6%
1 98
 
2.4%

q038f
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3977 
1
 
73

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3977
98.2%
1 73
 
1.8%

Length

2024-07-12T16:57:14.864795image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:15.004941image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3977
98.2%
1 73
 
1.8%

Most occurring characters

ValueCountFrequency (%)
0 3977
98.2%
1 73
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3977
98.2%
1 73
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3977
98.2%
1 73
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3977
98.2%
1 73
 
1.8%

q038g
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3539 
1
511 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3539
87.4%
1 511
 
12.6%

Length

2024-07-12T16:57:15.119298image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:15.259235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3539
87.4%
1 511
 
12.6%

Most occurring characters

ValueCountFrequency (%)
0 3539
87.4%
1 511
 
12.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3539
87.4%
1 511
 
12.6%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3539
87.4%
1 511
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3539
87.4%
1 511
 
12.6%

q038h
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3908 
1
 
142

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3908
96.5%
1 142
 
3.5%

Length

2024-07-12T16:57:15.376815image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:15.526240image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3908
96.5%
1 142
 
3.5%

Most occurring characters

ValueCountFrequency (%)
0 3908
96.5%
1 142
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3908
96.5%
1 142
 
3.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3908
96.5%
1 142
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3908
96.5%
1 142
 
3.5%

q038i
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
4012 
1
 
38

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4012
99.1%
1 38
 
0.9%

Length

2024-07-12T16:57:15.649356image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:15.797788image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 4012
99.1%
1 38
 
0.9%

Most occurring characters

ValueCountFrequency (%)
0 4012
99.1%
1 38
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4012
99.1%
1 38
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4012
99.1%
1 38
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4012
99.1%
1 38
 
0.9%

q038j
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3886 
1
 
164

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3886
96.0%
1 164
 
4.0%

Length

2024-07-12T16:57:15.922390image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:16.069530image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3886
96.0%
1 164
 
4.0%

Most occurring characters

ValueCountFrequency (%)
0 3886
96.0%
1 164
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3886
96.0%
1 164
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3886
96.0%
1 164
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3886
96.0%
1 164
 
4.0%

q039a
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
1
2207 
0
1843 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 2207
54.5%
0 1843
45.5%

Length

2024-07-12T16:57:16.192608image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:16.338025image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
1 2207
54.5%
0 1843
45.5%

Most occurring characters

ValueCountFrequency (%)
1 2207
54.5%
0 1843
45.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2207
54.5%
0 1843
45.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2207
54.5%
0 1843
45.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2207
54.5%
0 1843
45.5%

q039b
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3580 
1
470 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3580
88.4%
1 470
 
11.6%

Length

2024-07-12T16:57:16.459551image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:16.599982image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3580
88.4%
1 470
 
11.6%

Most occurring characters

ValueCountFrequency (%)
0 3580
88.4%
1 470
 
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3580
88.4%
1 470
 
11.6%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3580
88.4%
1 470
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3580
88.4%
1 470
 
11.6%

q039c
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3476 
1
574 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3476
85.8%
1 574
 
14.2%

Length

2024-07-12T16:57:16.718351image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:16.851892image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3476
85.8%
1 574
 
14.2%

Most occurring characters

ValueCountFrequency (%)
0 3476
85.8%
1 574
 
14.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3476
85.8%
1 574
 
14.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3476
85.8%
1 574
 
14.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3476
85.8%
1 574
 
14.2%

q039d
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3917 
1
 
133

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3917
96.7%
1 133
 
3.3%

Length

2024-07-12T16:57:16.967906image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:17.099684image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3917
96.7%
1 133
 
3.3%

Most occurring characters

ValueCountFrequency (%)
0 3917
96.7%
1 133
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3917
96.7%
1 133
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3917
96.7%
1 133
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3917
96.7%
1 133
 
3.3%

q039e
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3876 
1
 
174

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3876
95.7%
1 174
 
4.3%

Length

2024-07-12T16:57:17.208815image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:17.339950image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3876
95.7%
1 174
 
4.3%

Most occurring characters

ValueCountFrequency (%)
0 3876
95.7%
1 174
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3876
95.7%
1 174
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3876
95.7%
1 174
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3876
95.7%
1 174
 
4.3%

q039f
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3831 
1
 
219

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3831
94.6%
1 219
 
5.4%

Length

2024-07-12T16:57:17.456209image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:17.613342image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3831
94.6%
1 219
 
5.4%

Most occurring characters

ValueCountFrequency (%)
0 3831
94.6%
1 219
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3831
94.6%
1 219
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3831
94.6%
1 219
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3831
94.6%
1 219
 
5.4%

q039g
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3655 
1
395 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3655
90.2%
1 395
 
9.8%

Length

2024-07-12T16:57:17.748282image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:17.897289image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3655
90.2%
1 395
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0 3655
90.2%
1 395
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3655
90.2%
1 395
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3655
90.2%
1 395
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3655
90.2%
1 395
 
9.8%

q039h
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3684 
1
 
366

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3684
91.0%
1 366
 
9.0%

Length

2024-07-12T16:57:18.028454image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:18.177351image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3684
91.0%
1 366
 
9.0%

Most occurring characters

ValueCountFrequency (%)
0 3684
91.0%
1 366
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3684
91.0%
1 366
 
9.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3684
91.0%
1 366
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3684
91.0%
1 366
 
9.0%

q041a
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3002 
1
1048 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3002
74.1%
1 1048
 
25.9%

Length

2024-07-12T16:57:18.299086image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:18.437679image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3002
74.1%
1 1048
 
25.9%

Most occurring characters

ValueCountFrequency (%)
0 3002
74.1%
1 1048
 
25.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3002
74.1%
1 1048
 
25.9%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3002
74.1%
1 1048
 
25.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3002
74.1%
1 1048
 
25.9%

q041b
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3097 
1
953 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3097
76.5%
1 953
 
23.5%

Length

2024-07-12T16:57:18.557296image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:18.690231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3097
76.5%
1 953
 
23.5%

Most occurring characters

ValueCountFrequency (%)
0 3097
76.5%
1 953
 
23.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3097
76.5%
1 953
 
23.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3097
76.5%
1 953
 
23.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3097
76.5%
1 953
 
23.5%

q041c
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3614 
1
436 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3614
89.2%
1 436
 
10.8%

Length

2024-07-12T16:57:18.807334image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:18.938108image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3614
89.2%
1 436
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0 3614
89.2%
1 436
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3614
89.2%
1 436
 
10.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3614
89.2%
1 436
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3614
89.2%
1 436
 
10.8%

q041d
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3431 
1
619 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3431
84.7%
1 619
 
15.3%

Length

2024-07-12T16:57:19.056261image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:19.189316image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3431
84.7%
1 619
 
15.3%

Most occurring characters

ValueCountFrequency (%)
0 3431
84.7%
1 619
 
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3431
84.7%
1 619
 
15.3%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3431
84.7%
1 619
 
15.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3431
84.7%
1 619
 
15.3%

q041e
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3926 
1
 
124

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3926
96.9%
1 124
 
3.1%

Length

2024-07-12T16:57:19.306945image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:19.458935image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3926
96.9%
1 124
 
3.1%

Most occurring characters

ValueCountFrequency (%)
0 3926
96.9%
1 124
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3926
96.9%
1 124
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3926
96.9%
1 124
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3926
96.9%
1 124
 
3.1%

q041f
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3906 
1
 
144

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3906
96.4%
1 144
 
3.6%

Length

2024-07-12T16:57:19.569752image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:19.701069image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3906
96.4%
1 144
 
3.6%

Most occurring characters

ValueCountFrequency (%)
0 3906
96.4%
1 144
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3906
96.4%
1 144
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3906
96.4%
1 144
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3906
96.4%
1 144
 
3.6%

q041g
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3850 
1
 
200

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3850
95.1%
1 200
 
4.9%

Length

2024-07-12T16:57:20.042508image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:20.172521image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3850
95.1%
1 200
 
4.9%

Most occurring characters

ValueCountFrequency (%)
0 3850
95.1%
1 200
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3850
95.1%
1 200
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3850
95.1%
1 200
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3850
95.1%
1 200
 
4.9%

q041h
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3913 
1
 
137

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3913
96.6%
1 137
 
3.4%

Length

2024-07-12T16:57:20.283642image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:20.410961image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3913
96.6%
1 137
 
3.4%

Most occurring characters

ValueCountFrequency (%)
0 3913
96.6%
1 137
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3913
96.6%
1 137
 
3.4%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3913
96.6%
1 137
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3913
96.6%
1 137
 
3.4%

q041i
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3691 
1
 
359

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3691
91.1%
1 359
 
8.9%

Length

2024-07-12T16:57:20.523100image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:20.656921image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3691
91.1%
1 359
 
8.9%

Most occurring characters

ValueCountFrequency (%)
0 3691
91.1%
1 359
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3691
91.1%
1 359
 
8.9%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3691
91.1%
1 359
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3691
91.1%
1 359
 
8.9%

q041j
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3908 
1
 
142

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3908
96.5%
1 142
 
3.5%

Length

2024-07-12T16:57:20.777134image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:20.910503image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3908
96.5%
1 142
 
3.5%

Most occurring characters

ValueCountFrequency (%)
0 3908
96.5%
1 142
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3908
96.5%
1 142
 
3.5%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3908
96.5%
1 142
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3908
96.5%
1 142
 
3.5%

q041k
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3763 
1
 
287

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3763
92.9%
1 287
 
7.1%

Length

2024-07-12T16:57:21.026425image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:21.155828image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3763
92.9%
1 287
 
7.1%

Most occurring characters

ValueCountFrequency (%)
0 3763
92.9%
1 287
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3763
92.9%
1 287
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3763
92.9%
1 287
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3763
92.9%
1 287
 
7.1%

q041l
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3875 
1
 
175

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3875
95.7%
1 175
 
4.3%

Length

2024-07-12T16:57:21.265881image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:21.400474image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3875
95.7%
1 175
 
4.3%

Most occurring characters

ValueCountFrequency (%)
0 3875
95.7%
1 175
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3875
95.7%
1 175
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3875
95.7%
1 175
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3875
95.7%
1 175
 
4.3%

q041m
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3952 
1
 
98

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3952
97.6%
1 98
 
2.4%

Length

2024-07-12T16:57:21.523183image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:21.674006image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3952
97.6%
1 98
 
2.4%

Most occurring characters

ValueCountFrequency (%)
0 3952
97.6%
1 98
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3952
97.6%
1 98
 
2.4%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3952
97.6%
1 98
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3952
97.6%
1 98
 
2.4%

q041n
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
4010 
1
 
40

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4010
99.0%
1 40
 
1.0%

Length

2024-07-12T16:57:21.796928image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:21.944101image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 4010
99.0%
1 40
 
1.0%

Most occurring characters

ValueCountFrequency (%)
0 4010
99.0%
1 40
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4010
99.0%
1 40
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4010
99.0%
1 40
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4010
99.0%
1 40
 
1.0%

q041o
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3970 
1
 
80

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3970
98.0%
1 80
 
2.0%

Length

2024-07-12T16:57:22.075861image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:22.216168image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3970
98.0%
1 80
 
2.0%

Most occurring characters

ValueCountFrequency (%)
0 3970
98.0%
1 80
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3970
98.0%
1 80
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3970
98.0%
1 80
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3970
98.0%
1 80
 
2.0%

q041p
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
4022 
1
 
28

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4022
99.3%
1 28
 
0.7%

Length

2024-07-12T16:57:22.328165image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:22.470131image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 4022
99.3%
1 28
 
0.7%

Most occurring characters

ValueCountFrequency (%)
0 4022
99.3%
1 28
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4022
99.3%
1 28
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4022
99.3%
1 28
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4022
99.3%
1 28
 
0.7%

q041q
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
4018 
1
 
32

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4018
99.2%
1 32
 
0.8%

Length

2024-07-12T16:57:22.577300image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:22.700046image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 4018
99.2%
1 32
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0 4018
99.2%
1 32
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4018
99.2%
1 32
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4018
99.2%
1 32
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4018
99.2%
1 32
 
0.8%

q041r
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3962 
1
 
88

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3962
97.8%
1 88
 
2.2%

Length

2024-07-12T16:57:22.805420image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:22.929496image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3962
97.8%
1 88
 
2.2%

Most occurring characters

ValueCountFrequency (%)
0 3962
97.8%
1 88
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3962
97.8%
1 88
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3962
97.8%
1 88
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3962
97.8%
1 88
 
2.2%

q041s
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3830 
1
 
220

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3830
94.6%
1 220
 
5.4%

Length

2024-07-12T16:57:23.035270image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:23.159204image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3830
94.6%
1 220
 
5.4%

Most occurring characters

ValueCountFrequency (%)
0 3830
94.6%
1 220
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3830
94.6%
1 220
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3830
94.6%
1 220
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3830
94.6%
1 220
 
5.4%

q041t
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3858 
1
 
192

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3858
95.3%
1 192
 
4.7%

Length

2024-07-12T16:57:23.262245image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:23.384483image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3858
95.3%
1 192
 
4.7%

Most occurring characters

ValueCountFrequency (%)
0 3858
95.3%
1 192
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3858
95.3%
1 192
 
4.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3858
95.3%
1 192
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3858
95.3%
1 192
 
4.7%

q041u
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
0
3983 
1
 
67

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4050
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3983
98.3%
1 67
 
1.7%

Length

2024-07-12T16:57:23.489252image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:23.607705image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 3983
98.3%
1 67
 
1.7%

Most occurring characters

ValueCountFrequency (%)
0 3983
98.3%
1 67
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4050
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3983
98.3%
1 67
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
Common 4050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3983
98.3%
1 67
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3983
98.3%
1 67
 
1.7%

FSC
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5380247
Minimum0
Maximum6
Zeros95
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-07-12T16:57:23.705569image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q36
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7394245
Coefficient of variation (CV)0.38329991
Kurtosis-0.5171693
Mean4.5380247
Median Absolute Deviation (MAD)1
Skewness-0.8731677
Sum18379
Variance3.0255975
MonotonicityNot monotonic
2024-07-12T16:57:23.809467image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 1897
46.8%
5 634
 
15.7%
2 597
 
14.7%
3 366
 
9.0%
4 358
 
8.8%
1 103
 
2.5%
0 95
 
2.3%
ValueCountFrequency (%)
0 95
 
2.3%
1 103
 
2.5%
2 597
 
14.7%
3 366
 
9.0%
4 358
 
8.8%
5 634
 
15.7%
6 1897
46.8%
ValueCountFrequency (%)
6 1897
46.8%
5 634
 
15.7%
4 358
 
8.8%
3 366
 
9.0%
2 597
 
14.7%
1 103
 
2.5%
0 95
 
2.3%

FS_Status
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
Very low food security
2531 
Low food security
1321 
High or marginal food security
 
198

Length

Max length30
Median length22
Mean length20.760247
Min length17

Characters and Unicode

Total characters84079
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVery low food security
2nd rowLow food security
3rd rowLow food security
4th rowVery low food security
5th rowVery low food security

Common Values

ValueCountFrequency (%)
Very low food security 2531
62.5%
Low food security 1321
32.6%
High or marginal food security 198
 
4.9%

Length

2024-07-12T16:57:23.936853image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-12T16:57:24.074541image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
food 4050
26.9%
security 4050
26.9%
low 3852
25.5%
very 2531
16.8%
high 198
 
1.3%
or 198
 
1.3%
marginal 198
 
1.3%

Most occurring characters

ValueCountFrequency (%)
o 12150
14.5%
11027
13.1%
r 6977
 
8.3%
y 6581
 
7.8%
e 6581
 
7.8%
i 4446
 
5.3%
c 4050
 
4.8%
t 4050
 
4.8%
f 4050
 
4.8%
d 4050
 
4.8%
Other values (12) 20117
23.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 69002
82.1%
Space Separator 11027
 
13.1%
Uppercase Letter 4050
 
4.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 12150
17.6%
r 6977
10.1%
y 6581
9.5%
e 6581
9.5%
i 4446
 
6.4%
c 4050
 
5.9%
t 4050
 
5.9%
f 4050
 
5.9%
d 4050
 
5.9%
s 4050
 
5.9%
Other values (8) 12017
17.4%
Uppercase Letter
ValueCountFrequency (%)
V 2531
62.5%
L 1321
32.6%
H 198
 
4.9%
Space Separator
ValueCountFrequency (%)
11027
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 73052
86.9%
Common 11027
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 12150
16.6%
r 6977
9.6%
y 6581
9.0%
e 6581
9.0%
i 4446
 
6.1%
c 4050
 
5.5%
t 4050
 
5.5%
f 4050
 
5.5%
d 4050
 
5.5%
s 4050
 
5.5%
Other values (11) 16067
22.0%
Common
ValueCountFrequency (%)
11027
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84079
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 12150
14.5%
11027
13.1%
r 6977
 
8.3%
y 6581
 
7.8%
e 6581
 
7.8%
i 4446
 
5.3%
c 4050
 
4.8%
t 4050
 
4.8%
f 4050
 
4.8%
d 4050
 
4.8%
Other values (12) 20117
23.9%

Interactions

2024-07-12T16:56:45.239124image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2024-07-12T16:56:44.918860image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2024-07-12T16:56:45.398390image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2024-07-12T16:56:45.091480image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Correlations

2024-07-12T16:57:24.584644image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
idFSCq001q002q003q004q005q006q007q008q009q010q011aq013q015q019q020q022q025q026q027q034q035aq036aq037q040aq014aq014bq014cq014dq014eq014fq014gq016aq016bq016cq016dq016eq017aq017bq017cq017dq017eq017fq017gq017hq017iq017jq021aq021bq021cq021dq021eq021fq023aq023bq023cq023dq023eq024aq024bq024cq024dq024eq024fq024gq024hq028aq028bq028cq028dq033aq033bq033cq033dq033eq033fq033gq033hq033iq036bq038aq038bq038cq038dq038eq038fq038gq038hq038iq038jq039aq039bq039cq039dq039eq039fq039gq039hq041aq041bq041cq041dq041eq041fq041gq041hq041iq041jq041kq041lq041mq041nq041oq041pq041qq041rq041sq041tq041uFS_Status
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FSC-0.1311.0000.1380.3270.4340.4450.5740.3490.5360.5150.1460.1460.1530.1520.1330.2040.1120.1470.1500.1610.0500.2370.1310.0940.1850.1460.1390.0950.1150.0710.2050.0980.2730.1010.0600.1610.1950.2780.1310.0980.0460.0830.0360.1210.0510.1080.1120.2850.1990.0480.0590.0730.1010.0870.0350.0700.0000.0560.3190.1660.0630.0780.1340.1060.0610.0860.2440.0580.0340.0840.0870.0130.0540.0500.0830.0000.1080.0330.0990.2520.0030.2280.1570.0920.0460.0000.0430.2120.0000.0090.2450.1130.1510.1320.0230.0870.0790.1270.1960.0720.1110.1020.0000.0430.0170.0000.0000.0920.0170.0240.0450.0000.0000.0000.0000.0000.0270.0400.3350.0091.000
q0010.7250.1381.0000.1010.0660.1010.1000.1710.1200.1740.1530.1340.4980.1490.1360.1560.1750.0300.0860.1100.0290.1450.2130.0240.2580.1370.1690.0740.1120.1390.1270.0790.0270.1200.1400.0890.1720.0360.1220.1240.0730.0900.0910.1100.1150.0960.1960.1530.0880.0460.0860.0590.0900.1040.0300.0360.0650.0600.0550.3680.0970.1260.1270.0910.0560.1230.0000.0380.1110.0480.0460.1790.0270.0950.0700.0810.0850.1100.0570.1210.0000.1500.3070.3190.0330.3400.0430.5400.0600.0000.0980.1710.0700.0420.0430.0780.0820.1040.1330.1500.1350.0940.1310.0590.1510.1350.0350.0780.0570.0810.0450.0310.0000.0120.0120.0000.0680.1480.0770.0370.156
q0020.1560.3270.1011.0000.3200.2950.3060.1600.2880.2600.1690.2070.2240.1940.1830.1710.1820.1700.1790.1190.0830.1700.1000.0880.1490.2470.0190.0650.1030.1440.0780.0360.1770.0640.1690.0810.0880.2190.1010.1220.0800.1810.1020.0660.0850.0970.1660.1670.1390.0240.0200.1350.0450.1240.0640.1470.0240.1370.1870.0710.1590.1610.0890.1170.0410.0900.1630.0900.0380.0420.0260.0580.0660.0220.0740.0320.1360.0650.0980.1880.0250.0750.1020.0250.0130.0190.0000.1200.0000.0000.1500.0280.0990.0770.0080.0000.0000.0620.1260.2360.0590.1010.1200.0870.0000.0000.0420.0470.0240.0580.0530.0220.0000.0390.0510.0000.0000.0950.2350.0420.306
q0030.0700.4340.0660.3201.0000.4560.3750.2690.3540.3190.1680.1800.1410.1330.1250.1950.1220.1190.1430.1270.0640.1800.1160.0820.1520.1560.0450.0860.0340.0560.1110.0510.2270.1090.0800.1280.0800.2270.0540.0730.0380.0470.0600.0600.0760.0690.0630.2290.1890.0700.0470.0390.1330.1550.0440.0880.0760.0480.2700.0540.0470.0670.0740.0530.0470.0830.2050.0450.0570.0510.0690.0950.0540.0000.0510.0000.0660.0470.0340.1870.0330.1340.0800.0370.0000.0240.0220.0900.0000.0000.2160.1280.1340.1140.0290.0360.0930.1790.1830.1160.0770.1370.0700.0290.0440.0210.0250.0470.0450.0730.0950.0390.0000.0410.0140.0000.0000.0430.2680.0660.562
q0040.0870.4450.1010.2950.4561.0000.3840.2330.3640.3410.1690.1770.1750.1560.1650.2180.1220.1280.1550.1420.0700.1920.1260.1080.1780.1600.0600.0780.0610.0530.1050.0580.2840.0860.0780.0940.1190.2530.0590.0580.0660.0410.0480.0680.0750.0650.0470.2780.1470.0590.0760.0000.1440.1360.0280.0980.0700.0340.2800.0660.0600.0660.1040.0500.0500.0320.2420.0490.0580.0700.0760.0450.0460.0330.0510.0000.0440.0680.0580.2390.0600.1360.1360.1040.0000.0000.0260.0880.0000.0100.2500.1140.1410.1330.0170.0660.0740.1580.1720.0750.0880.1340.0240.0000.0660.0350.0000.0580.0290.0000.0870.0000.0000.0290.0000.0000.0120.0440.2950.0000.585
q0050.1020.5740.1000.3060.3750.3841.0000.2220.4800.4420.1590.1490.1700.1760.1630.1680.1120.1160.1430.1720.0460.1940.1510.1110.1920.1740.1120.0750.0810.0550.1510.0710.2340.0680.0800.1180.1580.2510.0920.0840.0300.0410.0210.0890.0320.0670.0600.2260.1660.0460.0490.0000.1220.0960.0210.0810.0350.0530.2560.1090.0350.0780.1090.0740.0460.0590.2100.0370.0870.0950.0870.0000.0460.0470.0570.0000.0190.0320.0900.1880.0270.1540.1100.0510.0480.0000.0500.1300.0000.0300.2020.1210.1180.1060.0150.0630.0280.0930.1450.1290.0880.0850.0260.0000.0170.0000.0000.0650.0060.0000.0500.0000.0190.0240.0000.0000.0230.0180.2340.0000.643
q0060.1080.3490.1710.1600.2690.2330.2221.0000.1750.1730.0980.1530.1150.0850.0990.1220.1220.0600.0770.0670.0000.0610.0540.0350.0490.1130.0400.0930.0550.0400.0670.0480.0730.1640.0690.1230.0000.0870.0500.0670.0630.1010.0280.0440.0580.0690.1040.1700.1120.0160.0630.0820.1330.1590.0680.0500.1030.0510.0320.0860.0570.0760.0610.0420.0320.0420.0950.0520.0930.0240.1560.0820.1040.0440.0750.0000.0970.0650.0580.1600.0520.0850.0950.0750.0000.0770.0140.0970.0000.0000.1660.1590.1170.1200.0530.0970.1390.1610.0810.1220.1100.1460.1080.0000.0360.0000.0200.0330.0410.0720.0740.0120.0000.0350.0440.0000.0000.1000.1610.0710.369
q0070.1140.5360.1200.2880.3540.3640.4800.1751.0000.4960.1930.1920.2120.1880.1700.2030.1450.1590.1660.1760.0540.2080.1620.1140.2080.1880.1440.0860.0940.0660.1710.0970.2550.0830.0640.1490.1690.2750.0800.0910.0380.0600.0280.1040.0490.0680.0770.2490.1910.0220.0510.0330.1020.0780.0170.1190.0270.0700.2990.1190.0580.0790.1070.0870.0190.0750.2190.0310.0630.0840.0540.0000.0510.0490.0570.0320.0460.0000.0890.2510.0160.1510.1300.0450.0000.0000.0640.1790.0110.0500.2150.1010.1080.1090.0190.0820.0640.1020.1850.0890.0940.0870.0240.0320.0080.0050.0000.0500.0000.0080.0550.0000.0000.0000.0000.0000.0000.0500.2760.0000.594
q0080.1600.5150.1740.2600.3190.3410.4420.1730.4961.0000.1980.1910.2430.2100.2020.2080.1530.1480.1650.1910.0570.2250.1600.1200.2160.2140.1360.0900.1210.0840.1810.0850.3050.1010.0820.1450.2070.2810.1450.1240.0550.0530.0700.1130.0690.0950.1500.2720.2150.0400.0330.0320.0980.0420.0320.0930.0000.0520.3140.1790.0480.0940.1360.1050.0240.0630.2610.0140.0580.0580.0550.0000.0320.0680.0330.0560.0610.0450.0800.2570.0000.1930.1850.0800.0370.0000.0210.2290.0000.0830.2230.1160.1160.0940.0100.0850.0790.1020.1960.0590.1110.0680.0000.0420.0490.0000.0390.0700.0000.0000.0000.0000.0000.0000.0000.0080.0000.0350.2910.0240.555
q0090.1430.1460.1530.1690.1680.1690.1590.0980.1930.1981.0000.2630.1780.1680.1790.1710.1100.1860.1900.1950.1030.2260.1720.0980.1970.1550.0440.0860.0640.0890.0650.0680.2400.1040.0920.1320.0810.3040.0600.0780.0520.0260.0760.0330.0490.1020.1100.2890.2260.0350.1050.0640.1470.2230.1470.0910.0000.0750.3420.1390.0460.0850.0750.0710.0560.0290.2810.0750.1240.0000.0300.0770.0470.0640.0740.0690.0640.0920.0460.2450.0000.0770.2040.1030.0200.0000.0460.0800.0320.0130.2100.1520.1370.1410.0770.0040.1080.1620.1890.1340.1170.2100.1190.0730.0620.0470.0560.0450.0500.0600.0940.0810.0690.0680.0000.0190.0210.1560.2890.0540.211
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q041c0.1570.1020.0940.1010.1370.1340.0850.1460.0870.0680.2100.0840.0910.0440.0810.0900.0620.0300.2700.0940.1130.0890.1540.0930.1110.1520.0000.0470.0610.0000.0370.0000.0000.0030.0470.0390.0270.0000.0000.0310.0860.0000.0130.0360.0230.0570.0440.0000.0270.0630.1010.0700.2190.2760.0160.0360.0320.0120.0080.0340.0290.0420.0780.0000.0380.0080.0000.0360.0800.0310.0000.1000.0750.0000.0000.0040.0270.0490.0460.0000.0890.0450.0590.0640.0090.0000.0000.0230.0250.0120.0000.2960.3250.2360.1160.1240.2000.3030.0410.1760.1061.0000.0850.0730.0350.0410.0000.0690.0300.0000.0790.0380.0000.0000.0000.0330.0040.0760.0660.0000.098
q041d0.1450.0000.1310.1200.0700.0240.0260.1080.0240.0000.1190.1160.1300.0890.1080.0270.0890.0290.0710.1050.0000.0170.2010.0140.0510.1440.0430.0310.0280.0630.0270.0110.0000.0530.0810.0470.0000.0000.0000.0490.0010.0410.0000.0000.0380.0590.0440.0390.0340.0000.0100.0460.0250.0440.0000.0320.0000.0350.0000.1240.0500.0510.0330.0190.0280.0060.0000.0000.0070.0060.0030.1300.0720.0330.0360.0000.0620.0050.0000.0000.0000.0000.0790.0390.0000.0290.0000.0990.0000.0000.0250.0270.0000.0000.0000.0330.0400.0580.0000.2010.1500.0851.0000.0160.0320.0450.0190.0770.0620.0560.0920.0530.0200.0400.0000.0100.0000.0650.0720.0130.009
q041e0.0950.0430.0590.0870.0290.0000.0000.0000.0320.0420.0730.0530.1350.1130.0000.0170.0470.0730.0170.0000.0380.0300.0480.0550.0000.1250.0340.0000.0330.0190.0510.0000.0000.0190.0420.0040.0000.0000.0290.0130.0780.0360.0530.0630.0570.0600.0930.0280.0250.0000.0000.0390.0060.0130.0000.0180.0000.0260.0000.0240.0340.0410.0650.0580.0250.0390.0000.0890.0000.0000.0000.0000.0000.0000.0000.0530.0350.0370.0000.0240.0000.0270.0120.0900.1070.0170.0430.0450.0000.0000.0200.0310.0000.0000.0230.0770.0800.0000.0300.0660.0110.0730.0161.0000.0040.0070.1120.0000.0280.0520.0000.0590.0600.0390.0960.0380.0000.0220.0250.0000.026
q041f0.1410.0170.1510.0000.0440.0660.0170.0360.0080.0490.0620.0390.0650.0310.0000.0290.0770.0180.0640.0340.0000.0880.2550.0670.2110.0980.0460.0220.0000.0350.0000.0560.0310.0000.0000.0390.0000.0000.0140.0280.0130.0380.0460.0000.0880.0450.0270.0000.0200.0190.0310.0000.0530.0280.0000.0080.0300.0470.0130.0000.0000.0270.0000.0000.0620.0000.0140.0100.0000.0000.0000.0210.0350.0670.0400.0000.0470.0000.0000.0280.0000.0360.0790.1400.0000.0080.0000.0000.0000.0000.0000.0430.0210.0510.0000.0000.0000.0450.0000.0770.0320.0350.0320.0041.0000.3960.0000.0270.0000.0460.0310.0000.0230.0000.0000.0130.0000.0200.0300.0000.020
q041g0.1200.0000.1350.0000.0210.0350.0000.0000.0050.0000.0470.0000.0800.0270.0120.0240.0820.0000.1000.0390.0000.0660.1930.0220.1560.1070.0200.0000.0000.0390.0280.0470.0170.0000.0000.0510.0000.0000.0000.0430.0000.0000.0080.0000.0710.0000.0000.0000.0000.0340.0550.0320.0780.0350.0000.0330.0000.0260.0000.0000.0000.0380.0160.0050.0410.0000.0000.0200.0000.0000.0000.0310.0230.0970.0100.0080.0240.0000.0000.0190.0000.0380.0750.1540.0000.0000.0000.0120.0300.0000.0000.0560.0500.0600.0280.0000.0180.0000.0000.0900.0130.0410.0450.0070.3961.0000.0070.1180.0000.0520.0700.0000.0240.0000.0000.0190.0370.0390.0340.0000.000
q041h0.0420.0000.0350.0420.0250.0000.0000.0200.0000.0390.0560.0700.0550.0320.0390.0600.1080.0500.0690.0370.0390.0000.0630.0300.0000.0460.0000.0210.0280.0760.0510.0250.0000.0000.0110.0000.0000.0000.0110.0000.0000.0420.0170.0780.0980.0930.0630.0180.0240.0070.0310.0000.0600.0000.0000.0210.0380.0000.0000.0000.0000.1020.0490.1120.1120.0460.0000.1120.0150.0540.0000.0110.0000.0310.0210.0450.0000.0280.0230.0180.0000.0000.0000.0310.0410.0340.0000.0000.0230.0000.0140.0000.0320.0000.0000.0840.1080.0220.0290.0000.0000.0000.0190.1120.0000.0071.0000.1210.1380.0770.0000.0340.0250.0220.0900.0000.0390.0250.0110.0110.000
q041i0.1170.0920.0780.0470.0470.0580.0650.0330.0500.0700.0450.1070.0960.0660.0890.0330.0760.0000.1010.0620.0000.0000.0880.0330.0000.1720.0000.0210.0460.0910.0920.0540.0420.0440.0740.0860.0300.0160.0420.0580.0310.0240.0000.0890.1030.1340.0820.0490.0380.0040.0360.0290.0940.0340.0000.0040.0510.0460.0240.0570.0390.0730.0690.0730.1060.0280.0190.0000.0370.0000.0000.0330.0000.1110.0000.0460.0000.0000.0000.0510.0000.0200.0260.0130.0000.0000.0120.0580.0490.0000.0000.0400.0060.0270.0000.0450.0560.0190.0330.0370.0380.0690.0770.0000.0270.1180.1211.0000.3060.0000.0070.0000.0310.0000.0610.0630.0560.0350.0570.0170.085
q041j0.0850.0170.0570.0240.0450.0290.0060.0410.0000.0000.0500.0470.0650.0600.0640.0270.0430.0720.0860.0650.0370.0200.0520.0020.0300.0250.0000.0410.0240.0320.0480.0950.0300.0270.0240.0360.0000.0000.0000.0000.0340.0120.0000.0470.0650.1480.0340.0390.0130.0180.0380.0460.0740.0060.0000.0000.0210.0440.0000.0140.0000.0710.0800.1000.0890.0000.0000.0540.0310.0000.0000.0140.0210.0230.0000.0550.0090.0450.0570.0280.0000.0310.0780.0130.0000.0000.0120.0390.0370.0000.0000.0550.0300.0150.0270.0000.0000.0180.0130.0000.0000.0300.0620.0280.0000.0000.1380.3061.0000.0000.0000.0220.0000.0000.0000.0320.0000.0110.0290.0000.024
q041k0.1010.0240.0810.0580.0730.0000.0000.0720.0080.0000.0600.0880.1100.0590.0810.0340.0590.0060.1020.1610.1800.0310.1010.1220.0490.1390.0000.0150.0160.0230.0000.0000.0000.0000.0750.0480.1190.0040.0000.0640.0000.0200.0000.0000.0000.0690.0690.0000.0000.0300.0220.0150.0000.0240.0000.0280.0000.0300.0210.0480.0390.0120.0000.0000.0000.0350.0090.1040.1480.0260.0000.0770.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0190.0530.0000.0000.0060.0480.0000.0000.0000.0070.0320.0000.0050.0000.0880.0710.0000.0680.0570.0000.0560.0520.0460.0520.0770.0000.0001.0000.3460.0160.0000.0000.0500.0000.0380.0350.0480.0000.036
q041l0.0890.0450.0450.0530.0950.0870.0500.0740.0550.0000.0940.0480.0810.0330.0720.0230.0470.0000.0740.0360.0000.0430.0630.0690.0650.1350.0000.0650.0000.0280.0270.0300.0000.0170.0670.0500.0800.0000.0000.0380.0150.0370.0000.0190.0000.0000.0690.0170.0000.0000.0000.0310.0470.1330.0000.0200.0000.0240.0080.0000.0390.0500.0000.0000.0000.0170.0000.0040.0260.0330.0000.0310.0360.0520.0000.0050.0160.0000.0000.0000.0340.0110.0680.0000.0000.0000.0000.0230.0000.0170.0000.0810.0590.0850.0650.0510.0570.1690.0220.0780.0480.0790.0920.0000.0310.0700.0000.0070.0000.3461.0000.0960.0150.0680.0110.0400.0260.0150.0360.0310.044
q041m0.0390.0000.0310.0220.0390.0000.0000.0120.0000.0000.0810.0430.0770.0000.0270.0180.0310.0000.3640.0650.0930.0000.0610.0110.0670.0710.0000.0090.0280.0000.0360.0000.0190.0390.0250.0230.0370.0000.0060.0170.0000.0000.0380.0000.0000.0000.0200.0090.0000.0650.0730.0820.0880.1330.0090.0130.0360.0000.0000.0580.0000.0000.0860.0000.0000.0000.0000.0140.0720.0000.0000.0000.0540.0000.0000.0000.0000.0280.0160.0000.0000.0240.0790.0000.0000.0000.0000.0290.0000.0000.0000.0690.1300.1080.0450.0000.0160.0340.0260.0710.0530.0380.0530.0590.0000.0000.0340.0000.0220.0160.0961.0000.1050.4680.0720.0660.0210.0120.0180.0000.000
q041n0.0380.0000.0000.0000.0000.0000.0190.0000.0000.0000.0690.1020.0600.0350.0000.0360.0540.0110.1490.0160.0590.0000.0000.0000.0470.0000.0000.0000.0000.0000.0000.0250.0000.0270.0280.0000.0000.0000.0100.0000.0020.0000.0100.0110.0090.0000.0000.0000.0040.0230.0390.0000.0290.0110.0000.0000.0170.0000.0000.0290.0000.0000.0180.0000.0000.0000.0000.0000.0270.0000.0000.0510.0000.0000.0160.0000.0000.0440.0000.0000.0000.0000.0100.0000.0000.0190.0290.0110.0000.0000.0000.0150.0160.0130.0000.0000.0000.0000.0000.0290.0070.0000.0200.0600.0230.0240.0250.0310.0000.0000.0150.1051.0000.0460.0650.1170.0420.0000.0000.0000.000
q041o0.0490.0000.0120.0390.0410.0290.0240.0350.0000.0000.0680.1020.0200.0000.0150.0400.0600.0130.5140.0530.1230.0080.0450.0000.0850.0730.0000.0280.0000.0000.0220.0330.0120.0390.0200.0000.0110.0000.0000.0210.0000.0130.0000.0280.0190.0220.0140.0000.0000.0950.0990.0850.1120.1310.0000.0000.0000.0130.0000.0330.0000.0000.0520.0000.0000.0000.0000.0000.0760.0000.0000.0170.0300.0000.0000.0000.0000.0000.0290.0000.0000.0000.0320.0000.0000.0250.0000.0000.0000.0000.0000.0950.1220.1170.0240.0000.0000.0000.0000.0640.0360.0000.0400.0390.0000.0000.0220.0000.0000.0000.0680.4680.0461.0000.0390.0340.0300.0000.0110.0050.021
q041p0.0480.0000.0120.0510.0140.0000.0000.0440.0000.0000.0000.0580.0000.0610.0530.0000.0000.0510.0280.0250.0000.0000.0230.0200.0000.0670.0000.0000.0000.0370.0330.0000.0000.0000.0000.0160.0000.0000.0050.0000.0290.0340.0740.0440.0210.0550.0270.0000.0000.0230.0000.0000.0000.0000.0000.0190.0000.0090.0000.0000.0240.0000.0350.0900.0580.0040.0000.0100.0000.0370.0030.0000.0000.0000.0070.0200.0510.0660.0000.0000.0000.0000.0000.0170.0360.0030.0160.0090.0880.0000.0000.0000.0200.0000.0000.0300.0360.0160.0000.0000.0000.0000.0000.0960.0000.0000.0900.0610.0000.0500.0110.0720.0650.0391.0000.0400.0350.0000.0000.0000.000
q041q0.0110.0000.0000.0000.0000.0000.0000.0000.0000.0080.0190.0230.0380.0250.0000.0000.0000.0210.0590.0330.0260.0160.0000.0350.0270.0000.0000.0080.0150.0000.0130.0160.0190.0190.0000.0170.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0210.0370.0660.0000.0000.0000.0000.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0210.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0080.0330.0290.0000.0000.0000.0110.0000.0140.0000.0000.0820.1190.0360.0160.0000.0300.0480.0000.0080.0290.0330.0100.0380.0130.0190.0000.0630.0320.0000.0400.0660.1170.0340.0401.0000.0000.0000.0000.0000.000
q041r0.0440.0270.0680.0000.0000.0120.0230.0000.0000.0000.0210.0460.0520.0000.1020.0390.0000.0240.0460.0550.0230.0000.0340.0240.0000.0740.0000.0000.0000.0000.0130.0000.0000.0090.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0160.0150.0000.0000.0000.0000.0140.0330.0000.0260.0000.0110.0000.0000.0000.0310.0000.0000.0000.0000.0420.0000.0000.0000.0280.0410.0220.0160.0000.0000.0000.0000.0080.0000.0140.0000.0000.0280.0000.0000.0000.0000.0000.0400.0000.0000.0000.0000.0000.0120.0000.0000.0000.0300.0000.0360.0290.0040.0000.0000.0000.0370.0390.0560.0000.0380.0260.0210.0420.0300.0350.0001.0000.0000.0140.0370.000
q041s0.1560.0400.1480.0950.0430.0440.0180.1000.0500.0350.1560.1020.1610.0800.0460.0540.0780.0300.0340.0000.0490.0880.1750.0000.1380.1340.0550.0150.0460.0470.0260.0460.0000.0580.0630.0490.0000.0000.0510.0600.0520.0420.0540.0380.0510.0240.1060.0340.0090.0180.0270.0000.0200.0000.0000.0080.0000.0080.0000.0900.0060.0620.0440.0670.0070.0370.0000.0000.0170.0000.0000.0000.0260.0160.0160.0150.0000.0090.0000.0420.0000.0190.0940.0300.0000.0160.0140.1000.0000.0000.0270.0420.0380.0000.0160.0340.0140.0200.0240.1340.1200.0760.0650.0220.0200.0390.0250.0350.0110.0350.0150.0120.0000.0000.0000.0000.0001.0000.0370.0480.035
q041t0.0720.3350.0770.2350.2680.2950.2340.1610.2760.2910.2890.2650.3000.2890.2790.2280.2610.1980.3170.2960.1120.3620.2980.2260.3360.4480.0000.0250.0280.0580.0870.0480.2790.0180.0690.1120.0000.2530.0540.0740.0560.0380.0510.0680.0530.0330.0000.3330.2320.0270.0000.0350.0650.0000.0390.0980.0370.0000.3110.0740.0220.0650.0460.0540.0330.0510.2530.0000.0400.0000.0220.0000.0000.0220.0680.0000.0430.0240.0210.3340.0000.0610.1170.0000.0120.0040.0000.0580.0000.0790.2690.0540.0320.0320.0000.0350.0260.0370.2430.1220.1020.0660.0720.0250.0300.0340.0110.0570.0290.0480.0360.0180.0000.0110.0000.0000.0140.0371.0000.0190.303
q041u0.0490.0090.0370.0420.0660.0000.0000.0710.0000.0240.0540.1310.1350.0310.0000.0000.0250.0450.0550.0150.0140.0570.0450.0640.0000.1600.0000.0180.0030.0000.0000.0000.0000.0000.0380.0140.0250.0130.0030.0310.0120.0290.0000.0370.0240.0210.0800.0000.0000.0000.0200.0000.0250.0880.0000.0000.0000.0000.0000.0000.0000.0210.0220.0210.0150.0120.0000.0180.0010.0000.0000.0040.0220.0120.0350.0000.0000.0000.0000.0000.0370.0170.0000.0000.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0360.0000.0500.0440.0000.0130.0000.0000.0000.0110.0170.0000.0000.0310.0000.0000.0050.0000.0000.0370.0480.0191.0000.012
FS_Status0.1561.0000.1560.3060.5620.5850.6430.3690.5940.5550.2110.2130.2300.2220.2040.1690.1480.1580.2180.2060.0340.2650.1900.1330.2670.2330.1010.0630.0930.0590.1720.1020.2580.0690.0560.1460.1560.2450.1090.0950.0540.0500.0260.1120.0450.0720.0880.2600.1940.0460.0470.0490.0720.0790.0210.0730.0230.0520.2740.1490.0500.0800.1270.0960.0500.0770.2120.0610.0180.0810.0550.0180.0560.0500.0760.0260.0620.0200.0620.2320.0210.2080.1490.0610.0420.0100.0340.2060.0000.0000.2020.0620.1350.1300.0140.0790.0460.1150.1570.0710.1110.0980.0090.0260.0200.0000.0000.0850.0240.0360.0440.0000.0000.0210.0000.0000.0000.0350.3030.0121.000

Missing values

2024-07-12T16:56:45.907910image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
A simple visualization of nullity by column.
2024-07-12T16:56:47.331189image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-07-12T16:56:48.667811image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idq001q002q003q004q005q006q007q008q009q010q011aq013q015q019q020q022q025q026q027q034q035aq036aq037q040aq014aq014bq014cq014dq014eq014fq014gq016aq016bq016cq016dq016eq017aq017bq017cq017dq017eq017fq017gq017hq017iq017jq021aq021bq021cq021dq021eq021fq023aq023bq023cq023dq023eq024aq024bq024cq024dq024eq024fq024gq024hq028aq028bq028cq028dq033aq033bq033cq033dq033eq033fq033gq033hq033iq036bq038aq038bq038cq038dq038eq038fq038gq038hq038iq038jq039aq039bq039cq039dq039eq039fq039gq039hq041aq041bq041cq041dq041eq041fq041gq041hq041iq041jq041kq041lq041mq041nq041oq041pq041qq041rq041sq041tq041uFSCFS_Status
01EnglishNoSometimes TrueSometimes TrueYesAlmost Every MonthYesYesLess Than 1 Year AgoTwo Times Per MonthMore Than Once A Week But Less Than DailyOneLess Than 30 MinutesNoLess Than 1 Time A WeekNo31-402 To 4YesNoCanadian CitizenWomanCanadian BornPrivate Rental Housing01001001010001000001000000100001000000010010000010000000100000000100000001000000000000000000006Very low food security
12EnglishNoNever TrueSometimes TrueNoNaNYesNoLess Than 1 Year AgoOtherI Do Not Visit Other Food ProgramsNone Of The AboveLess Than 30 MinutesNoLess Than 1 Time A WeekNo61-702 To 4NoYesPermanent ResidentManNaNPrivate Rental Housing01101000010000000000100010000001010100000000010000000000000001000011000000001000000000000000003Low food security
23EnglishNoNever TrueSometimes TrueNoNaNYesNoLess Than 1 Year AgoTwo Times Per MonthTwo Times A MonthNone Of The AboveLess Than 30 MinutesNoLess Than 1 Time A WeekNo51-602 To 4NoNoPermanent ResidentWomanNaNPrivate Rental Housing01001001000000000000100000010001010100000000010000000000000001000010000000000000000000000010003Low food security
34EnglishNoSometimes TrueSometimes TrueYesSome Months But Not Every MonthYesYes1 To 2 Years AgoTwo Times Per MonthMore Than Once A Week But Less Than Daily2 To 3Less Than 30 MinutesYes2-4 Times A WeekNo21-302 To 4NoNoCanadian CitizenManCanadian BornWith Family Or Friends00001101100001000100000000100100000000010000000000100000010000000100000000100000000000000000006Very low food security
45EnglishPrefer Not To AnswerOften TrueSometimes TrueYesOnly 1 Or 2 MonthsYesYesLess Than 1 Year AgoOtherI Do Not Visit Other Food ProgramsDon't Visit Every MonthLess Than 30 MinutesYes2-4 Times A WeekNo21-302 To 4YesNoCanadian CitizenWomanCanadian BornPrivate Rental Housing00001001000000000000100010010100000000010010001101000001100000000001100100000000000000000000015Very low food security
56EnglishNoOften TrueOften TrueYesAlmost Every MonthYesYesMore Than 10 Years AgoTwo Times Per MonthMore Than Once A Week But Less Than Daily2 To 330-60 MinutesYes2-4 Times A WeekNo51-602 To 4YesNoCanadian CitizenManCanadian BornPrivate Rental Housing00100000010000111010000010010001000000000010001100000000000000000010000100010000000000000000006Very low food security
67EnglishNoSometimes TrueSometimes TrueYesAlmost Every MonthYesYesLess Than 1 Year AgoTwo Times Per MonthMore Than Once A Week But Less Than DailyOneLess Than 30 MinutesNoDo Not ExerciseNo31-402 To 4YesNoCanadian CitizenWomanCanadian BornPrivate Rental Housing01001001010001000001000000100001000000010010000010000000100000000100000001000000000000000000006Very low food security
78EnglishYesNever TrueNever TrueNoNaNNoNo3 To 4 Years AgoTwo Times Per MonthTwo Times A Month2 To 3Less Than 30 MinutesYes2-4 Times A WeekNo31-402 To 4YesNoCanadian CitizenWomanCanadian BornWith Family Or Friends00010101100001010010000000100001000000010010000010000000010000000100000000100000000000000000002Low food security
89EnglishNoOften TrueOften TrueYesSome Months But Not Every MonthYesYes1 To 2 Years AgoEvery Two MonthsTwo Times A MonthOne30-60 MinutesYes5 Or More Times A WeekNot Applicable51-602 To 4YesYesMigrant WorkerMan10 Or More YearsPrivate Rental Housing00011001111001000011000000100100010110100001011010001000010000000100000000000010000000000010006Very low food security
910EnglishYesNever TrueSometimes TrueNoNaNNoNo1 To 2 Years AgoOnce Per MonthTwo Times A MonthMore Than 4Less Than 30 MinutesYes2-4 Times A WeekNo41-502 To 4YesNoCanadian CitizenManCanadian BornWith Family Or Friends00000100110010100100000000100001000000010010000000010000010000000100000001000000000000000000002Low food security
idq001q002q003q004q005q006q007q008q009q010q011aq013q015q019q020q022q025q026q027q034q035aq036aq037q040aq014aq014bq014cq014dq014eq014fq014gq016aq016bq016cq016dq016eq017aq017bq017cq017dq017eq017fq017gq017hq017iq017jq021aq021bq021cq021dq021eq021fq023aq023bq023cq023dq023eq024aq024bq024cq024dq024eq024fq024gq024hq028aq028bq028cq028dq033aq033bq033cq033dq033eq033fq033gq033hq033iq036bq038aq038bq038cq038dq038eq038fq038gq038hq038iq038jq039aq039bq039cq039dq039eq039fq039gq039hq041aq041bq041cq041dq041eq041fq041gq041hq041iq041jq041kq041lq041mq041nq041oq041pq041qq041rq041sq041tq041uFSCFS_Status
40404072EnglishYesSometimes TrueNever TrueYesOnly 1 Or 2 MonthsYesYesMore Than 10 Years AgoOnce Per MonthTwo Times A Month2 To 3Less Than 30 MinutesNoDo Not ExerciseNo31-40OneNaNNoCanadian CitizenManCanadian BornSupportive Housing00000000000000000000100000010000000000000000000100000000100000000011001000010000000000000000005Very low food security
40414073EnglishNoOften TrueSometimes TrueYesSome Months But Not Every MonthYesYesLess Than 1 Year AgoTwo Times Per MonthI Do Not Visit Other Food ProgramsOneLess Than 30 MinutesYesDo Not ExerciseNo41-505 To 7YesNoCanadian CitizenManCanadian BornPrivate Rental Housing10000000001010000000000000100100000000010010000100000000100000000100000000000000000000000001006Very low food security
40424074EnglishPrefer Not To AnswerSometimes TrueSometimes TrueYesAlmost Every MonthYesYesPrefer Not To AnswerPrefer Not To AnswerLess Than Every 6 MonthsOne60-90 MinutesYes5 Or More Times A WeekNo21-302 To 4NoNoCanadian CitizenWomanCanadian BornWith Family Or Friends10000000010000000000100000100010000100000000001000000000000010000100000000100000000000000000006Very low food security
40434075EnglishPrefer Not To AnswerOften TrueOften TrueYesAlmost Every MonthYesNo3 To 4 Years AgoOnce Per MonthPrefer Not To AnswerOneLess Than 30 MinutesYes2-4 Times A WeekNo41-50OneNaNYesCanadian CitizenWoman10 Or More YearsSocial Rental Housing10000000010000000000010010010100000110100000000010000000001000000000000010010000000000000000005Very low food security
40444076EnglishNoSometimes TrueSometimes TrueYesAlmost Every MonthYesYes1 To 2 Years AgoOnce Per MonthLess Than Every 6 MonthsOneLess Than 30 MinutesYesDailyNo51-60OneNaNYesCanadian CitizenManCanadian BornSocial Rental Housing10000001000000000000100010000001000000010000001000000000100000000100000000001000000000000000006Very low food security
40454077EnglishNoOften TrueSometimes TrueYesSome Months But Not Every MonthYesYesLess Than 1 Year AgoTwo Times Per MonthTwo Times A Month2 To 330-60 MinutesYes5 Or More Times A WeekYes21-302 To 4NoNoCanadian CitizenWomanCanadian BornWith Family Or Friends00001000010000000000100000100010000100000000010000000000100000000100000000001000000000000000006Very low food security
40464078EnglishNoSometimes TrueSometimes TrueYesOnly 1 Or 2 MonthsYesYesLess Than 1 Year AgoOnce Per MonthPrefer Not To AnswerOne60-90 MinutesNoDo Not ExerciseNo41-502 To 4YesNoPermanent ResidentMan1-4 YearsPrivate Rental Housing00000100001011100110000000100100010100100001001000000000000001000100000001000000000000000000005Very low food security
40474079EnglishNoDon't KnowNever TrueYesDon't KnowNoNoLess Than 1 Year AgoOnce Per MonthTwo Times A MonthOneMore Than 90 MinutesYes2-4 Times A WeekNo21-302 To 4YesYesPermanent ResidentWomanLess Than 1 YearOther (Please Specify)10000001000000000000100000000100010000000000100100000000000001000100000000100000000000000000002Low food security
40484080EnglishPrefer Not To AnswerSometimes TrueSometimes TrueNoNaNNoNoLess Than 1 Year AgoEvery Two MonthsI Do Not Visit Other Food ProgramsOneLess Than 30 MinutesPrefer Not To AnswerLess Than 1 Time A WeekNo41-502 To 4YesYesPermanent ResidentWomanLess Than 1 YearPrivate Rental Housing00000101000001000000000000100001000000010001000000000100000100000000000010100000000000000000002Low food security
40494081EnglishNoOften TrueOften TrueYesAlmost Every MonthYesNo3 To 4 Years AgoEvery Two MonthsI Do Not Visit Other Food ProgramsOneLess Than 30 MinutesNoDo Not ExerciseNo51-602 To 4YesYesPermanent ResidentWoman1-4 YearsPrivate Rental Housing10000000001000000000100000100001010000110010000110000000010000000100000000100000000110000000005Very low food security